ynic-users

ynic-users@ynic.york.ac.uk

2782 discussions

Fwd: Post-doc in Quantitative MRI for Cancer Imaging

by Gary Green

We are seeking a full-time postdoctoral research assistant to join the Biomedical Image Analysis Laboratory and associated Quantitative Biomedical Inference Group at the Institute of Biomedical Engineering (IBME) in Headington. The post is funded by Cancer Research UK, and the Engineering and Physical Sciences Research Council, and is fixed-term to 30 November 2016. The research project is within the Image Analysis programme of the Oxford Cancer Imaging Centre, in close interaction with clinicians and medical physicists in the centre. You will be responsible for evaluating new quantitative Magnetic Resonance Imaging (MRI) methods and developing Image Analysis methods to extract physiological information from them. You should possess (or be near completion of) a relevant PhD in quantitative MR imaging and image analysis, together with relevant experience to work in a multi-disciplinary environment with both engineers and clinicians. You should also possess strong mathematical and programming skills (e.g. matlab, C++) as well as excellent communication skills. A good publications record in relevant international peer-reviewed conferences and journals is essential. For further information see: https://www.recruit.ox.ac.uk/pls/hrisliverecruit/erq_jobspec_version_4.jobs…

11 years, 4 months

Fwd: postdoc in brain image anlaysis

by Gary Green

Dear All, I am looking for a postdoc to work on brain image analysis, e.g., dynamic functional connectivity. See more information below. Regards, Thomas Job Title: Postdoctoral Fellow in Brain Image Analysis Project: Develop novel image analysis and machine learning tools for brain image analysis, (e.g. Dynamic Functional Connectivity). Research Webpage: http://yeolab.weebly.com/research.html Requirements: Ph.D. in computer science, electrical engineering, statistics or related fields. Candidates should have previously published research in image processing, computer vision, statistical or machine learning. Experience with functional MRI is preferred (but not required). Compensation: Competitive and commensurate with experience Institutes: Perform ground-breaking research at the National University of Singapore (NUS), while enjoying the beautiful sceneries and cultures of South-East Asia. NUS is a research-intensive university consistently ranked among the top 30 universities in the world (http://en.wikipedia.org/wiki/National_University_of_Singapore#University_ra…). Successful candidates may be required to travel between Singapore and Harvard Medical School for certain projects. Contact: Email BT Thomas Yeo (thomas.yeo(a)nus.edu.sg) with your CV. Deadline: 1st May, 2014

11 years, 4 months

Biocentre bike sheds

by Gary Green

Dear Users York Science Park have issued this notice ------------ Works will be commencing w/c 24th February on upgrades to the Biocentre bike store security and facilities and will hopefully be completed by the end of that week, weather permitting. A brief description of upgrade works is as follows: All gates to be re hung for extra strength and security. The two middle gates will be permanently closed, which will create extra room for bike stands. The two end gates will be fitted with Digi-locks and used as access and egress to the bike store. The codes for these will be given out on request once the works are completed. The original bike stands will be reinstalled to give a more organised layout, leaving room for users to manoeuvre easier. Extra wall hung bike racks will also be installed. Any regular users who require advanced notification of the code for the gates are requested to inform us of their contact details by return of this notice. We plan to complete the works in two sections, which would result in half the store being out of action during this work, then moving onto the other half once completed. We apologise in advance for the disruption these works might cause but we are confident that the extra security will be a massive benefit to cycle users in the future. Regards YSPL Team York Science Park Ltd T: 01904 435100 E: enquiries(a)yorksciencepark.co.uk W: www.yorksciencepark.co.uk --

11 years, 4 months

YNiC seminar 20th February

by rem

Dear Users This Thursday (4.15 pm in YNiC open plan) there will be an internal project proposal presentation given by Karla Evans. The title of Karla's talk is "Global image processing". Everyone is welcome to attend and refreshments will be served afterwards. Best wishes Rebecca -- ************************************************************************ Dr. Rebecca E. Millman Science Liaison Officer York Neuroimaging Centre The Biocentre York Science Park Heslington YO10 5DG Tel: +44 (0) 1904 567614 Fax: +44 (0) 1904 435356

11 years, 4 months

Fwd: PhD or Postdoctoral Position at University of Duisburg-Essen

by Gary Green

The University Clinic Essen is a hospital of maximum care. All fields of medicine are represented by 54 special clinics or institutes. The hospital has a total of 5.500 employees. 180.000 patients are treated each year. The University Clinic Essen has a strong, internationally competitive background in research and teaching. A PhD _or_ Postdoctoral position is available at the earliest date possible at the /Experimental Neurology Laboratory/ of the /Department of Neurology/: _PhD position or Postdoctoral position_ (Allowance/Entgeltgruppe 13 TV-L ///75% _or_ 100%) Salary will be dependent on the candidate's profile and collective bargaining law ("Tarifrecht"). Job duration is four years (/doctoral position/) or three years (/postdoctoral position/). Extension of job duration depends among others on the general agreement for universities concerning conditions of employment ("Wissenschaftszeitvertragsgesetz") and availability of external funds. The project is supported by the German Research Foundation (DFG) as part of the DFG Research Unit *"Extinction Learning: Neural Mechanisms, Behavioral Manifestations and Clinical Implications" (FOR 1581)*. The position is available as part of the subproject "*Contribution of the human cerebellum to extinction learning and renewal"* (PIs Prof. Dr. D. Timmann and Prof. Dr. M. Ladd). Job description: Focus will be on acquisition and analysis of structural and functional MRI of the cerebellum using an ultra-high-field (7 Tesla) MR scanner. Experiments will be performed at the Erwin L. Hahn Institute for MRI (www.hahn-institute.de). Job qualifications: We are looking for students/postdocs with a background in physics, computer science, or engineering. Experience in (f)MRI and good Matlab skills are expected. Students/postdocs with a background in neuroscience, neuropsychology or neurobiology and advanced experience in (f)MRI are also invited to apply.** Secondary employment ("Nebentätigkeiten") depends on the general agreement for universities concerning conditions of secondary employments of Nordrhine-Westfalia ("Hochschulnebentätigkeitsverordnung des Landes Nordhein-Westfalen") . Applications from appropriately qualified handicapped persons will be given priority. The University of Duisburg-Essen seeks to increase the number of female academic staff and encourages women with the necessary qualifications to apply for this position. Applications from appropriately qualified women will be given priority. The job is open until filled. _Please send your application including CV via email to:_ Dagmar Timmann-Braun Professor of Experimental Neurology Dagmar.Timmann-Braun(a)uni-duisburg-essen.de Department of Neurology Universitätsklinikum Essen Hufelandstraße 55 45147 Essen. ----------------------------------------------------- *Beschreibung: Beschreibung: Universitätsklinikum Essen* <http://www.uk-essen.de/index.php> Prof. Dr. Dagmar Timmann-Braun Universitätsklinikum Essen AöR Neurologische Klinik Hufelandstrasse 55 45147 Essen Telefon +49 201 723 6508 Fax +49 201 723 5969 Email dagmar.timmann-braun(a)uni-due.de <mailto:dagmar.timmann-braun@uni-due.de> Internet www.dagmar-timmann.de <http://www.dagmar-timmann.de/>; www.uni-due.de/neurologie <http://www.uni-due.de/neurologie> -----------------------------------------------------

11 years, 4 months

Fwd: PhD-position at the Max Planck Institute for Human Development, Berlin

by Gary Green

Dear colleagues, the project "Cognitive and Neural Dynamics of Memory Across the Lifespan (CONMEM) at the Center for Lifespan Psychology, Max Planck Institute for Human Development, Berlin, is seeking applications for a Predoctoral Research Fellow. Please see the details about the available position below. Best regards, Markus Werkle-Bergner -- ************************************************************** Dr. rer. nat. Markus Werkle-Bergner, Dipl. Psych. Research Scientist Center for Lifespan Psychology Max Planck Institute for Human Development Lentzeallee 94, Room 211, D-14195 Berlin, Germany. Phone: +49(0)30-82406-447 Fax: +49(0)30-8249939 ************************************************************** ************************************************************** JOB DESCRIPTION ************************************************************** The project „Cognitive and Neural Dynamics of Memory Across the Lifespan (CONMEM)” at the Max Planck Institute for Human Development, Center for Lifespan Psychology (Director: Prof. Dr. Ulman Lindenberger), is seeking applications for a Predoctoral Research Fellow The doctoral fellowship will last for 2 (+1) years. The position is available from May 1, 2014 or earlier. Job Description The CONMEM project (PIs: Dr. Yee Lee Shing& Dr. Markus Werkle-Bergner) investigates lifespan changes in the interplay between associative and strategic components of memory functioning on neural and cognitive levels, with a focus on working and episodic memory (see Sander, et al., Neurosci. Biobehav. Rev., 2012; Shing, et al., Neurosci. Biobehav. Rev., 2010). Future research will advance a multi-modal imaging approach (EEG source imaging in combination with structural and functional MRI) to uncover lifespan differences in rhythmic neural activity related to perception, attention, and memory (e.g., Werkle-Bergner et al., Neurosci. Biobehav. Rev., 2006). The successful predoctoral fellow will plan and conduct empirical studies in this domain, analyze the behavioral, EEG, and MRI data, and prepare scientific manuscripts for publication. For further information, please contact: Dr. Markus Werkle-Bergner (werkle(a)mpib-berlin.mpg.de) Requirements A successful applicant needs to hold a diploma/master degree in psychology, cognitive neuroscience, computer science, or related fields. Applicants should have experience with conducting experimental research, knowledge in neuroimaging methods (preferably EEG), and a solid background in at least one programming language (preferably Matlab or R). In addition, the ability to work independently as well as a high proficiency of the English language is required. The Max Planck Society is interested in increasing the number of women on its scientific staff. We strongly encourage applications from women and members of minority groups. In addition, the Max Planck Society is committed to employing more handicapped individuals and encourages them to apply. To apply, please send (via email only) a statement of research interests, a CV, a copy of relevant certificates, (p)reprints of publications, and a list of two references to Dr. Markus Werkle-Bergner, MPI for Human Development, Lentzeallee 94, 14195 Berlin (werkle(a)mpib-berlin.mpg.de) by March 31th, 2014. ************************************************************** ************************************************************** _______________________________________________ Eeglablist page: http://sccn.ucsd.edu/eeglab/eeglabmail.html To unsubscribe, send an empty email to eeglablist-unsubscribe(a)sccn.ucsd.edu For digest mode, send an email with the subject "set digest mime" to eeglablist-request(a)sccn.ucsd.edu

11 years, 4 months

YNiC seminar today

by rem

Dear Users Please note that the "YNiC seminar" this afternoon will take place over 3 hours (2-5 pm) in B020 in the Department of Psychology. The MSc CN students will be giving project proposal presentations for their empirical research projects. Please see below for a list of times, speakers, supervisors and talk titles. Everyone is welcome to attend. Best wishes Rebecca Time Students Supervisor Title 2.00 David Coggan, Wanling Liu Andrews Can low-level image properties predict category-selective responses in higher-level visual areas? 2.10 Phoebe Asquith, Eddy Rhodes, Amy Turner Barraclough Investigation connectivity within the human mirror neuron system using dual TMS 2.20 Shanelle Canavan, Ellie Cole, Lucy Spencer, Vera Wang Baseler Neural correlates of peripheral visual sensitivity in hearing and deaf adults 2.30 Lauren Debney Evans Global processing in medical images 2.40 Jennifer Ashton Gaskell Reactivating emotional memories during sleep 2.50 Zihao Chen, Zach Cotter, Rachael Hulme, Ellie Suffill Gennari Time in Language 3.00 Binglei Zhao Goebel Arithmetic networks in adults with dyslexia 3.10 Lysia Demetriou, Theodore Karapanagiotidis, Ashley Symons Green Learning and extinction with positive and negative outcomes 3.30 Geoff Gallagher, Meng Yang Hartley/ Baker Neural correlates of the tilt-shift illusion 3.40 Hannah Biddles, Rachel Garcia, Eftychia Giannakopoulou, Mrinmayi Kulkarni Hymers/ Millman Name that tune: the functional organization of music recognition 3.50 Phil Dwerryhouse, Jonathan Robinson, Junior Whiteley Johnston Exploring MEG/EEG violations of expectancy violation 4.00 Rachel Woodall Morland Longitudinal measures of brain function and structure of patients with Macular Degeneration 4.10 Holly Brown, Emily Shoesmith, Jonathan Kennedy, Wai Hong Liu, Morland The role of lateral occipital visual field maps in viewpoint perception 4.20 Josie Hogg, Milena Kaestner Wade Assessing the intrinsic dimensionality of visual cortex using multidimensional scaling 4.30 Debs Vallejo Lopez Wade Measuring the effect of environmental contrast on visual gain control 4.40 Irene De Caso, Borong Yan Young Decoding facial expression and gaze direction from fMRI -- ************************************************************************ Dr. Rebecca E. Millman Science Liaison Officer York Neuroimaging Centre The Biocentre York Science Park Heslington YO10 5DG Tel: +44 (0) 1904 567614 Fax: +44 (0) 1904 435356 -- ************************************************************************ Dr. Rebecca E. Millman Science Liaison Officer York Neuroimaging Centre The Biocentre York Science Park Heslington YO10 5DG Tel: +44 (0) 1904 567614 Fax: +44 (0) 1904 435356

11 years, 4 months

Fwd: Neuroimaging Timeseries Data Analyst / Engineer Position - Univ. of California, Irvine

by Gary Green

We have the following position available at UC Irvine that may be of interest to you. Job Description: Work with the faculty member, other members of the laboratory, including numerous engineers and physicists, and researchers from different laboratories in using UNIX-based software packages, C Shell scripts, digital signal processing tools, graph theory, and high degree correlational algorithms to analyze time series data of various types, including brain imaging and electrophysiological signals. Assist the scientists and trainees in analyzing data from applied projects in neuroscience. Design and implementation of new analysis protocols and software modules for digital times series analysis related to physiological signals and related data analysis. Perform software testing, maintenance and modification, and coding related to digital time series analysis. Salary: Annual $41,258.88-$46,458.00 Career Position If you are interested please contact me for more information: Thanks, Dave David Keator University of California, Irvine dbkeator(a)uci.edu ------------------------------------------------------------------------ This message contains confidential information and is intended only for the individual named. If you are not the named addressee you should not disseminate, distribute or copy this e-mail. Please notify the sender immediately by e-mail if you have received this e-mail by mistake and delete this e-mail from your system. E-mail transmission cannot be guaranteed to be secure or error-free as information could be intercepted, corrupted, lost, destroyed, arrive late or incomplete, or contain viruses. The sender therefore does not accept liability for any errors or omissions in the contents of this message, which arise as a result of e-mail transmission.

11 years, 4 months

Fwd: Programmer position for brain imaging machine-learning Python library

by Gary Green

Hi, We are looking for a programmer to join our research group, Parietal team (http://http://team.inria.fr/parietal/), at INRIA, to work on nilearn (http://nilearn.github.io) a library applying advanced machine learning and signal processing to functional brain imaging. As a programmer, you will be taking part to the NiConnect research project (http://parietal.saclay.inria.fr/research/spatial_patterns/niconnect), developing tools for the analysis of "functional connectomes": brain connectivity infered using functional MRI. The project unites neuroscientists, data-miners, statisticians and clinical researchers to transfer recent advances in basic neuroscience to clinical diagnostic tools. Your duties will be to work hand in hand with the computer science and statistics researchers to turn the research code into a solid and well documented Python library usable by clinical researchers. The core technologies used will rely on the scientific Python stack (http://scipy.org) and scikit-learn (http://scikit-learn.org) machine learning library. Requirements ============= * Good programming skills in Python, preferably with experience of the scientific Python stack * Understanding of quality assurance in software development: test-driven programming, version control, technical documentation. * Software design skills * Some knowledge of Linux/Unix * Knowledge of open-source development and community-driven environments is valued * Good technical English level * An experience in statistical learning or a mathematical-oriented mindset is a plus Speaking French is not a requirement, as it is an international team. About the team =================== INRIA (http://www.inria.fr) is the French computer science research institute. It recognized word-wide as one of the leading research institutions and has a strong expertise in machine learning. You will be working in the Parietal team (http://http://team.inria.fr/parietal/) that makes a heavy use of Python for brain imaging analysis. Parietal is a small research team (around 20 people) with an excellent technical knowledge of scientific and numerical computing in Python as well as a fine understanding of algorithmic issues in machine learning, statistics and image processing. Parietal is committed to investing in the scientific Python toolstack and its members are core developers in central projects such as Mayavi (http://docs.enthought.com/mayavi/mayavi/) and scikit-learn (http://scikit-learn.org), as well as the nipy (http://nipy.org) library for NeuroImaging in Python and the nilearn (http://nilearn.github.io) library for machine learning applied to NeuroImaging. Parietal is located in the Neurospin brain research facility (http://www-dsv.cea.fr/en/instituts/institut-d-imagerie-biomedicale-i2bm/ser…), that hosts several brain scanners and research teams in neuroscience and medical imaging. Working at Parietal is a unique opportunity to improve your skills in numerical computing and statistical data processing in Python. In addition, working on an open source stack, will give you premium experience of open source community management and collaborative project development. Practical Info =============== * Technical Contact: Gael Varoquaux * E-mail contact: gael.varoquaux(a)inria.fr * HR Contact: Marie Domingues * E-mail Contact: marie.domingues(a)inria.fr * No telecommuting. We need people that can very easily relocate for Paris, as the time scales for this job are somewhat short. * Fixed-term contract. Duration depending on the salary. * Salary depending on experience * Experience required: either some professional experience as a programmer, or extensive open source contributions Links ===== On-line job offer: https://team.inria.fr/parietal/hiring-a-programmer-for-a-brain-imaging-mach… Motivational note: http://gael-varoquaux.info/blog/?p=171 Cheers, Gaël -- Gael Varoquaux Researcher, INRIA Parietal Laboratoire de Neuro-Imagerie Assistee par Ordinateur NeuroSpin/CEA Saclay , Bat 145, 91191 Gif-sur-Yvette France Phone: ++ 33-1-69-08-79-68 http://gael-varoquaux.info http://twitter.com/GaelVaroquaux

11 years, 4 months

Fwd:Postdoc position, University of Cambridge

by Gary Green

*Postdoctoral Researcher (Cam-CAN)* *University of Cambridge, Department of Psychology* *Vacancy Ref: PJ02734* ** *Salary: £28,132 - £36,661 pa* Applications are invited for a post-doctoral scientist to join the Cambridge Centre for Ageing and Neuroscience (Cam-CAN, www.cam-can.com). This centre brings together a large group of researchers across the University of Cambridge and at the MRC Cognition and Brain Sciences Unit (MRC-CBSU) who aim to relate brain changes to cognitive changes over the adult lifespan (covering ages 18-88). The appointee will work with a unique population-representative sample of 700 adults on whom we have collected extensive cognitive and neural measures. A subset of these individuals will be run in a further set of fMRI and MEG studies designed to probe major cognitive functions. The Cam-CAN project will integrate across these data-sets using a variety of methods, relating changes in neural structure and function over the lifespan to changes in cognitive function and capacity. The role of the postholder will be to undertake analyses of the 700 participants’ dataset, carry through the second stage fMRI and MEG studies, and play a key role in integrating across cognitive and imaging data-sets e.g. using multivariate and multimodal neuroimaging analysis methods. The postholder will have a strong background in imaging and imaging statistics, and cognitive and/or physiological ageing. Candidates should have, or be in the final stages of obtaining, a PhD in one of the following relevant areas: cognitive neuroscience, neuroimaging methods, applied statistics, or machine learning. Knowledge of and experience in advanced imaging analyses, particularly connectivity analysis is essential, and it would be an advantage to have some direct experience of MEG/EEG and/or fMRI. Excellent statistical, computer programming (including MATLAB and/or Python) and MEG analysis (SPM, Fieldtrip) skills are essential. Postdoctoral experience would be an advantage but is not essential. Candidates should be thorough, efficient, able to communicate effectively, and enjoy working as part of an energetic interdisciplinary team. The Centre has access to a research-dedicated 3T Siemens MR scanner, EEG and MEG facilities housed at the MRC Cognition and Brain Sciences Unit in Cambridge. Applications should be made online via the University of Cambridge Web Recruitment System. To apply online for this vacancy and to view further information about the role, please visit: http://www.jobs.cam.ac.uk/job/3195. This will take you to the role on the University of Cambridge’s Job Opportunities pages. There you will need to click on the 'Apply online' button and register an account with the University's Web Recruitment System (if you have not already) and log in before completing the online application form. Please ensure that you upload your Curriculum Vitae (CV) and a covering letter in the Upload section of the online application. Queries regarding this post can be directed to Mrs Marie Dixon, Cam-CAN Administrator, at admin(a)cam-can.com <mailto:admin@cam-can.com> or 01223 766458. The Vacancy number for this position is PJ02734. /Closing date: 17 March 2014 / /Limit of tenure: The funds for this post are available until 30 September 2015. / For further details, please see our website at http://www.cam-can.com/vacancies The University values diversity and is committed to equality of opportunity. The University has a responsibility to ensure that all employees are eligible to live and work in the UK.

11 years, 4 months

Jump to page:

2025

2024

2023

2022

2021

2020

2019

2018

2017

2016

2015

2014

2013

2012

2011

2010

2009

2008

2007

2006

ynic-users