Dear colleagues,
I hope to find you well. Could I please ask you to distribute the
information about the new postdoc opening at our new lab at AU to your
mailing lists and any potentially interested colleagues/students?
Apologies for multiple cross-postings – and thanks a lot in advance!
Best,
Yury
Yury Shtyrov
Professor, Head of MEG/EEG
Aarhus University, Denmark
*** Postdoctoral Position in Neuroscience of Language : Aarhus, Denmark***
Applications are invited for a postdoctoral scientist post to support
research into neurobiological foundations of language at the Center of
Functionally Integrative Neuroscience (CFIN), Department of Clinical
Medicine at Aarhus University.
The successful applicant will work on a research project funded by the
Lundbeck Foundation, exploring the neurophysiological mechanisms of
language learning (word acquisition in particular) using various
neuroimaging techniques, and carrying out specific scientific research
in collaboration with line manager and other team members. The
postholder’s research will be centred on exploring structural and
functional neural plasticity underlying speech and language processing
in the human brain. Ideal candidates will therefore have experience in
neuroimaging and in language research. Previous experience in using one
or more of state-of-the-art neuroimaging modalities
(structural/functional MRI, DTI, MEG , EEG, TMS. etc) is essential.
Eligible candidates should hold a PhD or similar degree in a relevant
discipline, including (but not limited to) psychology, neuroinformatics
or neuroscience. The position is to be filled as soon as possible and is
open for up to 1.5 years within the funding period allowed.
CFIN is an international multidisciplinary research centre based at
Aarhus University’s Institute for Clinical Medicine, Denmark. Our
research groups are supported by state-of-the-art cognitive neuroscience
facilities including research-only 306-channel TRIUX MEG system (Elekta
Neuromag), fMRI systems (Siemens TIMTrio 3T, Magnetom Skyra 3T), PET,
navigated TMS, EEG, eye-tracking equipment, Two-Photon Microscopy, etc.,
and have well-established clinical and other collaborations. Aarhus
University provides an inspiring international research environment with
top neuroscience facilities. Aarhus is a dynamic university city located
on the Baltic coast in continental Denmark and surrounded by nature; it
offers very high living standards, rich cultural and intellectual life,
outdoor activities, excellent restaurant/nightlife scene etc.
Further information and application procedures can be found using the
following
link:http://www.au.dk/en/about/vacant-positions/scientific-positions/stillinger/Vacancy/show/724400/5283/
Additional information regarding this position can be obtained by
contacting Professor Yury Shtyrov, head of MEG/EEG, CFIN, Aarhus
University. Deadline for applications: April 8, 2015.
Hi all,
Debian, who provide the base operating system that we use at YNiC,
recently announced[1] that the Chromium web browser will no longer
receive security updates. As a result we will be removing the Chromium
browser from all our systems on Friday next week (27th March) so that
we're not left exposed to security problems with Chromium.
Anyone using Chromium at YNiC should switch to Iceweasel (a rebranded
Firefox browser) as this will continue to receive security updates.
If you have any bookmarks in Chromium that you would like to save please
follow the steps below:
* Run Chromium and press CONTROL+SHIFT+O to bring up the bookmark manager.
* Click on the Organize button and choose 'Export bookmarks to HTML file...'
* Choose a sensible filename and click the save button.
* Close Chromium and open Iceweasel.
* Press CONTROL+SHIFT+O to bring up the library window.
* Click the 'Import and Backup' button and select 'Import Bookmarks from
HTML...'
* Choose the file saved in the previous step and click the Open button.
All your bookmarks from Chromium will now be saved in Iceweasel.
If you have any problems saving your bookmarks or if you have a use case
that Iceweasel fails to satisfy please let us know by e-mailing
it-support(a)ynic.york.ac.uk as soon as possible.
Thanks, Paul.
[1] https://lists.debian.org/debian-security-announce/2015/msg00031.html
--
Paul Elliott, UNIX Systems Administrator
York Neuroimaging Centre (YNiC), University of York
Dear Users
This afternoon (from 4 pm in B020), there will be two internal project
proposal presentations from Jonny Smallwood's group: *
1) Differences between the Default Mode Network's activity during
self-relevant and not-self-relevant memory formation *
Irene de Caso
*2) Window to the wandering mind - an fMRI investigation on the role of
pupil dilation in the occurrence of self-generated thought*
Mahiko Konishi
Abstract
Occurrences of mind-wandering, i.e. shifting our attention from the
external environment to our self-generated thoughts, are spontaneous,
dynamic experiences that clearly illustrate the fleeting identity of
consciousness. Due to its subjective nature, first-person point of view
measures like self-reports and experience sampling, such as stopping a
participant in the middle of a task and asking him if he was focused on
the task or distracted, have long been the state of the art for the
study of self-generated thought. These methods, while managing to
capture instances of this experience, lack of a way to objectively gauge
occurrences of self-generated thought from a second- or third-person
point of view without disrupting the experience itself. As there is
previous evidence that pupil dilation tracks fluctuations in mind
wandering and that these are also linked at a neural level with the
activation of the Default Mode Network, we aim to bring the two methods
together in order to triangulate (with the help of experience sampling)
the temporal dynamics of self-generated thought.
Everyone is welcome to attend and refreshments will be available after
the seminar.
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
We are seeking a highly motivated postdoctoral fellow to perform
independent research in the area of posttraumatic stress disorder and
traumatic brain injury. This position will be at Duke University and
the Durham VA Medical Center working with Dr. Rajendra Morey and will
include both pre-clinical and clinical studies, with emphasis on human
neuroimaging biomarkers (lab website
https://web.duke.edu/moreylab/index.html). The Postdoctoral Fellow will
be responsible for the design and evaluation of experiments, development
of new ideas that promote current research as well as performing
quantitative data analysis in a multi-disciplinary team setting.
An M.D. or Ph.D. in Neuroscience, Bioengineering, Psychology, or a
related biomedical sciences is required, including demonstrated
productivity in the field. Experience with pre-clinical experimental
models of posttraumatic stress disorder, traumatic brain injury,
neuroimaging software (e.g., Freesurfer, AFNI, FSL, etc) and
Matlab/C-shell programming experience is required. The Postdoctoral
Fellow is expected to attend meetings, develop and maintain
collaborative relationships with staff and other agencies, write
accurate and comprehensive assessments and reports, and prepare and
publish scientific manuscripts. Therefore, excellent written and verbal
communication skills are also required. Interested candidates should
email Sarah Lancaster at sarah.lancaster(a)dm.duke.edu or Rajendra Morey
at rajendra.morey(a)duke.edu.
Rajendra Morey, M.D., M.S.
Associate Professor
Psychiatry and Behavioral Sciences,
and Duke-UNC Brain Imaging and Analysis Center Duke University School of
Medicine Director, Neuroimaging Lab Mental Illness Research Education
and Clinical Center Durham VA Medical Center
Phone: 919-286-0411 x 6425
Fax: 919-416-5912
email: rajendra.morey(a)duke.edu
web: www.duke.edu/web/moreylab
This affects: fMRI users using pulses from the MRI scanner with the
Presentation software package
Does not affect: fMRI users who do not use pulses from the scanner or
who use PsychToolbox / Psychopy.
For users who do use Presentation with MRI trigger timing, please see
the instructions for changing your experiments to use the new, more
reliable trigger capture device. These changes should be made
immediately as the system is now active.
https://www.ynic.york.ac.uk/docs/TechInfo/Misc/ParallelPort#MRIPresentation
The changes are minor and should only take a minute to implement. Any
trouble or confusion, please contact me directly.
--
Andre'
************************************************************************
Andre Gouws
York Neuroimaging Centre
University of York
The Biocentre
York Science Park
Heslington
YO10 5NY
Tel: +44 (0) 1904 435327
Fax: +44 (0) 1904 435356
Dear all,
I am pleased to announce that *registration is now open* for the
official SPM course covering fMRI/MRI/VBM in London. It will be held
Thursday 14^th May to Saturday 16^th May 2015 (directly after the SPM
for MEG/EEG course, which will be held at the same venue).
To register, please visit
http://onlinestore.ucl.ac.uk/browse/extra_info.asp?compid=1&modid=2&deptid=…
. (Please note that all attendees must register via that link – even if
they previously filled in the “pre-registration” form.)
The course is organised by the Methods Group at the Wellcome Trust
Centre for Neuroimaging (“the FIL”), where SPM is developed. The
three-day course will be divided into theoretical sessions covering
experimental design and statistical inference and practical sessions in
which SPM12 will be used to analyse exemplar data sets. This course is
suitable for both beginners and more advanced users, with topics
including image pre-processing, the general linear model (GLM),
voxel-based morphometry (VBM) and Dynamic Causal Modelling (DCM).
The programme for the course is below.
Kind regards,
Peter.
Peter Zeidman, PhD
Methods Group
Wellcome Trust Centre for Neuroimaging
12 Queen Square
London WC1N 3BG
peter.zeidman(a)ucl.ac.uk <mailto:peter.zeidman@ucl.ac.uk>
*Programme (provisional):*
*Thursday 14^th May*
**
08:45 – 09:15
Registration and Coffee
09:15 – 09:30
Introduction to the Course
09:30 – 10:00
Overview of SPM
10:00 – 10:30
Pre-processing for fMRI – Theory
10:30 – 11:00
Pre-processing for fMRI – Demo
/Coffee/
11:30 – 12:00
The General Linear Model
12:00 – 12:45
Contrasts and Classical Inference
/Lunch/
13:45 – 14:15
Group Analysis
14:15 – 15:00
Random Field Theory & Alternatives
/Tea/
15:30 – 16:15
Segmentation and VBM – Theory
16:15 – 17:00
Segmentation and VBM – Demo
17:00 – 18:00
“Questions and Answers” Clinic
**
*Friday 15^th May*
**
09:30 – 10:15
Experimental Design
10:15 – 11:00
Event-related fMRI – Theory
/Coffee/
11:30 – 12:15
Event-related fMRI – Demo
12:15 – 13:00
Bayesian Inference
/Lunch/
14:00 – 15:00
Dynamic Causal Modelling for fMRI
/Tea/
15:30 – 16:30
DCM for fMRI – Advanced Topics
16:30 – 17:15
DCM for fMRI – Demo
17:15 – 18:00
“Questions and Answers” Clinic
/18:30 –/
/Social Event/
//
*Saturday 16^th May*
*PRACTICAL WORKSHOPS*
9:30 – 10:00
Introduction; Allocation of Groups
10:00 – 15:30
Parallel session in small groups covering: fMRI analyses (several groups
depending on attendees’ level of knowledge), Voxel-Based Morphometry
(VBM) and Dynamic causal modelling (DCM).
/Coffee /
16:00 – 17:00
Workshop feedback presentations
Dear Users
This Thursday (from 4 pm in B020), there will be two internal project
proposal presentations from Jonny Smallwood's group: *
1) Differences between the Default Mode Network's activity during
self-relevant and not-self-relevant memory formation *
Irene de Caso
*2) Window to the wandering mind - an fMRI investigation on the role of
pupil dilation in the occurrence of self-generated thought*
Mahiko Konishi
Abstract
Occurrences of mind-wandering, i.e. shifting our attention from the
external environment to our self-generated thoughts, are spontaneous,
dynamic experiences that clearly illustrate the fleeting identity of
consciousness. Due to its subjective nature, first-person point of view
measures like self-reports and experience sampling, such as stopping a
participant in the middle of a task and asking him if he was focused on
the task or distracted, have long been the state of the art for the
study of self-generated thought. These methods, while managing to
capture instances of this experience, lack of a way to objectively gauge
occurrences of self-generated thought from a second- or third-person
point of view without disrupting the experience itself. As there is
previous evidence that pupil dilation tracks fluctuations in mind
wandering and that these are also linked at a neural level with the
activation of the Default Mode Network, we aim to bring the two methods
together in order to triangulate (with the help of experience sampling)
the temporal dynamics of self-generated thought.
Everyone is welcome to attend and refreshments will be available after
the seminar.
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
The Centre for Research and Development in Learning (CRADLE) and the Division of Psychology, School of Humanities and Social Sciences, Nanyang Technological University (NTU) invite applications for a tenure-track Assistant Professorship in Educational Neuroscience and Psychology.
CRADLE@NTU serves as an activity and technology incubator for researching and transforming learning in higher education. The mission of CRADLE is to integrate research in Neuroscience, Psychology, Pedagogy and Technology to inform learning and education. We believe that transformative innovation can happen at the nexus of these different fields. Our research strands provide synergies between these disciplines in the hopes such collaborative efforts may give way to a New Science of Learning.
The Division of Psychology at Nanyang Technological University is a relatively young program with a cohesive faculty dedicated to high-quality research and teaching. The Division was recently ranked 45th in the world (http://www.topuniversities.com/university-rankings/university-subject-ranki…) and has seen continued growth in recent years. For further information about the Division, please refer to the following website: http://www.hss.ntu.edu.sg/Programmes/psychology/Pages/Home.aspx
The successful candidate will be involved centrally in a new research program in Educational Neuroscience within CRADLE to conduct research in the study of thinking and/or the neuroscience of learning. For the study of thinking, research will involve translation of the study of thinking into learning design and solutions for higher education settings, including the use of eLearning and learning analytics. The research in the neuroscience of learning (cognitive or affective) will aim to bridge findings from educational neuroscience to educational strategies. Candidates with a PhD in Psychology/Neuroscience and post-doctoral research training and experience in one or more of the following research areas involving human subjects are encouraged to apply: educational neuroscience, cognitive/affective neuroscience, computational neuroscience, translational neuroscience and cognitive neuropsychology.
The successful candidate will hold both an appointment as an investigator in CRADLE as well as a tenure track faculty position in the Division of Psychology. He/she will have the opportunity to establish an independent research program with possible access to behavioral labs and various neuroimaging facilities (MRI/EEG/MEG/NIRS/TMS). Research on the development of individual differences in learning and thinking is of particular relevance in young and older adults.
Salary will be competitive and will commensurate with qualifications and experience. The University offers a comprehensive fringe benefit package. Information on emoluments and general terms and conditions of service is available at http://www.ntu.edu.sg/ohr/CareerOpportunities/TermsandConditions/Pages/Facu….
Application Procedure
To apply, please refer to the Guidelines for submitting an Application for Faculty Appointment
(http://www.ntu.edu.sg/ohr/CareerOpportunities/SubmitanApplication/Pages/Fac…) and email your application package (consisting of a cover letter, curriculum vitae, personal particulars form, teaching and research statements, three selected reprint/preprints of publications, and the names and email addresses of three potential referees) to: Charmaine.goh(a)ntu.edu.sg
Review of applications will begin upon receipt and will continue until the position is filled. Only shortlisted candidates will be notified.
Postdoctoral Position in Longitudinal Image Analysis
A postdoctoral position on 4D image registration and segmentation is
available in IDEA lab (http://bric.unc.edu/ideagroup), UNC-Chapel Hill,
NC. The successful candidate should have a strong background on
Electrical or Biomedical Engineering, or Computer Science, preferably
with emphasis on image analysis, or computer vision. Experience on
medical image registration and segmentation is highly desirable. People
with machine learning background are particularly encouraged to apply.
Knowledge on neuroscience and programming background (good command of
LINUX, C and C++, scripting, and Matlab) are desirable. The research
topic will be the development and validation of 4D image registration
and segmentation methods for longitudinal image analysis. The successful
candidates will be part of a diverse group including radiologists,
psychologists, physicists, biostatistician, and computer scientists, and
will build upon the group's previous work on medical image analysis. If
interested, please email resume to Dr. Guorong Wu (grwu(a)med.unc.edu
<mailto:grwu@med.unc.edu>).
Postdoctoral Position on Machine Learning
A postdoctoral position on machine learning with application to
neuroimage-based brain disease diagnosis and prediction is available in
UNC-Chapel Hill. The successful candidate should have a strong
background on Electronic Engineering, Biomedical Engineering,
Statistics, or Computer Science, preferably with emphasis on machine
learning, pattern classification, regression methods, or sparse
representation. People with strong experience on machine learning are
particularly encouraged to apply.
The successful candidate will be part of a diverse group including
radiologists, psychologists, physicists, biostatistician, and computer
scientists, and will build upon the group's previous work on medical
image analysis. The research topic will be the development and
validation of novel machine learning methods for early diagnosis and
prediction of brain disorders. Please visit group website
(http://bric.unc.edu/ideagroup) for more information. If interested,
please email resume to Dr. Guorong Wu (grwu(a)med.unc.edu
<mailto:grwu@med.unc.edu>)