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by Michael Simpson

Dear all, there will be a number of visitors in YNiC today, as part of the University Science Trail. Groups of school students will be here between 10.00 and 15.00, and will principally be in MEG and Open plan. The Science Trail activities will not restrict access to Open Plan, however if you are planning to work in Open Plan during this time, please can you chose a workstation towards the back wall of Open Plan rather than near the projection wall. Many thanks, Michael -- Dr Michael Simpson Science Liaison Officer York Neuroimaging Centre Innovation Way York YO10 5DG Tel: 01904 567614 Web: http://www.ynic.york.ac.uk

12 years, 1 month

Fwd: Post doctoral position

by Gary Green

A postdoctoral fellow position is available à INRIA Montbonnot (FR) for the development of *Advanced statistical models for the coupling of ASL and BOLD MR modalities to study brain function*. see http://www.inria.fr/en/institute/recruitment/offers/post-doctoral-research-… for information and application Michel Dojat

12 years, 1 month

Fwd: postdoc and PhD position in comp neuroscience & MEG/EEG methods, Jena, Germany

by Gary Green

extended deadline - 20th of March: We are inviting applications for a postdoctoral and a PhD student position in the Computational Neuroscience& Magnetoencephalography group at the Biomagnetic Centre (http://www.neuro.uniklinikum-jena.de/neuro/en/Research/Biomag.html), Friedrich-Schiller-University of Jena, Germany. The successful candidates will develop novel analysis methods for Magneto- and Electroencephalography (MEG/EEG) such as connectivity analysis, source reconstruction and advanced single trial analysis. The positions are devoted to research only without any teaching or administrative duties. The work will be done in collaboration with the MEG and theoretical neuroscience groups at the Wellcome Trust Centre for Neuroimaging in London, UK. These positions are ideal for candidates with a computational/theoretical background and a strong interest in collaborating with experimental researchers in neuroimaging. The lab runs a 306 channels MEG (Neuromag Vectorview) with 128 integrated EEG sensors, a high-density EEG system, and high-performing compute servers. In addition the group has access to a research-only 3T MRI-scanner. All experimental facilities (MEG, EEG, MRI) are supported by experienced physics and IT staff. The applicants should have worked in neuroscience before and be motivated to work in a multidisciplinary team (e.g. mathematicians, engineers, psychologists, physicians). The postdoc applicant must have a PhD (or equivalent) in computational neuroscience, physics, or a related field and should, ideally, have expertise in EEG or MEG and nonlinear dynamical systems. The PhD student should have a mathematically oriented background in computational neuroscience, physics, or a related field but students with a cognitive neuroscience, psychology, or related background will be considered as well. The starting dates for both positions are flexible. Salary is based on German Public service regulations (postdoc TV-L E13, PhD student TV-L E13 65%). The postdoc position is initially for two years with possible extension; the PhD position is for three years with one year possible extension. Interested candidates are encouraged to get in touch at their earliest convenience. Applications are considered until 20th of March 2013 but reviewing of the applications will start immediately. For questions or an informal discussion about these positions please contact Prof. Stefan Kiebel (skiebel at biomag.uni-jena.de). The following documents should be included in the application in a single PDF-file and sent by email to skiebel at biomag.uni-jena.de: A cover letter including a brief description of personal qualifications and future research interests, curriculum vitae, and contact details of two personal references. -- Prof. Dr. Stefan Kiebel Max Planck Institute for Human Cognitive and Brain Sciences Leipzig, Germany Phone: ++49 341/9940-2435 Fax: ++49 341/9940-2221 http://www.cbs.mpg.de/~kiebel _______________________________________________ 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

12 years, 1 month

Fwd: [SPM] Statistical Parametric Mapping for MEG/EEG 2013 course

by Gary Green

FYI - those of you who wish to use SPM might wish to look at the details in the email below as it gives information on how to view the videos of previous courses. The course itself costs £200 for the MEG/EEG part (plus accommodation and travel. It is followed by the SPM MRI course which costs £600 (£400 for students). Note that if you wish to attend then you need to book fairly quickly as there are a limited number of places. I will be giving a short series on how to use SPM for DCM analysis of MEG data sets in the near future as part of the Psychology MEG Forum Gary ----------------------------- Dear colleagues, We are happy to advertise the 2013 Statistical Parametric Mapping for MEG/EEG course presented by the Wellcome Trust Centre for Neuroimaging. The course will take place on Monday 13th May –Wednesday 15th May 2011 at the Wellcome Trust Centre for Neuroimaging in London. This course will present instruction on the analysis of EEG and MEG data. The first two days will combine theoretical presentations with practical demonstrations of the different data analysis methods implemented in SPM. On the last day participants will have the opportunity to work on SPM tutorial data sets under the supervision of the course faculty. We also invite students to bring their own data for analysis. The course will cover (1) data pre-processing, (2) statistical analysis of sensor-space maps using GLMs and Random Field theory, (3) source reconstruction and (4) Dynamic Causal Modelling for EEG/MEG. The course will be followed by the long-established three-day course on ‘SPM for fMRI’ so it is possible to attend both courses. The course is suitable for beginners and more advanced users. We advise students to gain at least minimal familiarity with the methodology, for example, from reading the paper available at http://www.hindawi.com/journals/cin/2011/852961/ and other introductory articles listed at the SPM website or by following data analysis examples in the SPM manual. Video lectures from the 2012 course are available at http://www.fil.ion.ucl.ac.uk/spm/course/video/#MEEG For the practical part of the course please bring a laptop that can run Matlab (7.4 or later, no toolboxes are required) and is powerful enough to analyse your data (64-bit OS is highly recommended). The detailed schedule and booking forms can be found at http://www.ion.ucl.ac.uk/articles/events/SPM . For further details and registration please contact Jean Reynolds (jean.reynolds(a)ucl.ac.uk <mailto:jean.reynolds@ucl.ac.uk>). With best wishes, Vladimir Litvak Ph.D. Lecturer Wellcome Trust Centre for Neuroimaging -------------------------------------------------------------------------------------------------- SPM (http://www.fil.ion.ucl.ac.uk/spm/) is free and open source software written in MATLAB (The MathWorks, Inc.). In addition to standard M/EEG pre-processing, we presently offer three main analysis tools: (i) statistical analysis of scalp-maps, time-frequency images and volumetric 3D source reconstruction images based on the general linear model, with correction for multiple comparisons using random field theory; (ii) Bayesian M/EEG source reconstruction, including support for group studies, simultaneous EEG and MEG, and fMRI priors; (iii) Dynamic Causal Modelling (DCM), an approach combining neural modelling with data analysis for which there are several variants dealing with evoked responses, steady state responses (power spectra and cross-spectra), induced responses and phase coupling. SPM is integrated with the FieldTrip toolbox (http://fieldtrip.fcdonders.nl/), making it possible for users to combine a variety of standard analysis methods with new schemes implemented in SPM and build custom analysis tools using powerful graphical user interface (GUI) and batching tools.

12 years, 1 month

International Food and Karaoke Night - Today

by Emma Holmes

Dear all, Just a reminder that the international food and karaoke night will take place today in *C003*. We'll have some snacks and refreshments out at *5:30pm* from around the world. Anything that you bring can be added to the selection. It's a great opportunity to sample some foods that you may not have tried before! We'll also be taking song choices around this time, ready to get the karaoke started. Sing on your own, as a group, or just enjoy the music! Looking forward to seeing you there! Emma On behalf of the ECR ____________________________________________ Emma Holmes PhD Student Room B001b, Department of Psychology, University of York, Heslington, York, YO10 5DD, UK. Email: eh776(a)york.ac.uk; Tel: 01904 322879 On 5 March 2013 14:10, Emma Holmes <eh776(a)york.ac.uk> wrote: > Dear all, > > As it's approaching the end of the term, it's almost time for another ECR > social event! > > We've organised a karaoke night in the department next Thursday. So it's > time to start practicing singing in front of the mirror! > > We're also planning to have some different types of snacks from around the > world! > It's a chance to show off the food from your native country (or a country > of your choice) and also try some food from different countries. > Bring something in (bought or handmade) for others to taste. It only needs > to be something small. > > It should be a great evening. Hopefully we'll have some of the regular > karaoke singers, and some that we haven't heard before too. > Everyone's welcome! (Even if you just want to come along to listen to the > songs). > > It'll take place in C003 at 5:30pm next Thursday (Week 10, 14th March). > See you there! > > Emma > On behalf of the ECR > ____________________________________________ > > Emma Holmes > PhD Student > > Room B001b, Department of Psychology, > University of York, Heslington, York, YO10 5DD, UK. > Email: eh776(a)york.ac.uk; Tel: 01904 322879 >

12 years, 1 month

Reminder: MEG research group meeting today

by Markus van Ackeren

Hi all, This is just to remind you again of our MEG research group meeting today at 12.15 in C003. Rebecca Millman is going to talk about her work on:/ Brain mechanisms underlying spoken sentence comprehension based on tone-vocoded speech.// // In this talk Rebecca will describe an ongoing MEG project on spoken speech comprehension. The beamformer-based analyses employed for this project use both existing and novel analysis streams within the NAF framework to address the question of how the brain processes intelligible speech sentences. /Best, Markus

12 years, 1 month

Fwd: Postdoc Position in Cambridge, UK

by Gary Green

------- *MRC Cognition and Brain Sciences Unit – Cambridge* ** *Neuroimaging Post to study Ageing* Applications are invited for a 2-year post-doctoral position to join the Cambridge Centre for Ageing and Neuroscience (CamCAN). This centre brings together a large group of researchers across the University of Cambridge and at the MRC Cognition and Brain Sciences Unit (MRC-CBU) who aim to relate brain changes to cognitive changes over the adult lifespan. The appointee will work with a unique population-representative sample of 700 adults on whom we have already collected extensive cognitive and structural brain measures. A subset of these individuals will be tested in a further set of fMRI and MEG studies designed to probe specific cognitive functions. The CamCAN 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. You should have, or be in the final stages of obtaining, a PhD in cognitive neuroscience, neuroimaging methods or a related field, with a strong background in statistics, especially of large data-sets. Experience in conducting and analysing fMRI experiments is essential, particularly connectivity analysis. Excellent statistical knowledge, computer programming (MATLAB and/or Python) and expertise in neuroimaging software (e.g, SPM) are also essential. Candidates should be careful, efficient, able to communicate effectively, and enjoy working as part of a diverse and energetic interdisciplinary team. The starting salary will be in the range of £26,022 - £29,324 per annum, supported by a flexible pay and reward policy, 30 days annual leave entitlement, and an optional MRC final salary Pension Scheme. On site car and cycle parking is available. For informal discussion please contact Prof Richard Henson at the CBSU: rik.henson(a)mrc-cbu.cam.ac.uk <mailto:rik.henson@mrc-cbu.cam.ac.uk> Applications are handled by the RCUK Shared Services Centre; to apply please visit our job board at https://ext.ssc.rcuk.ac.uk and complete an online application form. Applicants who would like to receive this advert in an alternative format (e.g. large print, Braille, audio or hard copy), or who are unable to apply online should contact us by telephone on 01793 867003. Please quote reference number IRC86470 Closing date: 1^st April 2013 /This position is subject to pre-employment screening/// /The Medical Research Council is an Equal Opportunities Employer/

12 years, 1 month

Fwd: 2 PhD Positions * Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig

by Gary Green

**2 PhD Positions** * *Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig** The Max Planck Institute for Human Cognitive and Brain Sciences Leipzig and the Collaborative Research Centre “Obesity Mechanisms” at the University Clinic Leipzig are offering 2 PhD studentships in the project “Neurocognitive Models of Behavioural Control in Obesity”. The goal of this project is the development of detailed models of brain functioning with respect to cognitive control mechanisms and their alterations in human obesity using both neurobiological and computational modelling methods. This work combines structural and functional magnetic resonance imaging (MRI) with computational modelling and behavioural assessment. Research will be conducted at the MPI in Leipzig, an internationally leading centre for cognitive neuroscience and neuroimaging. The institute offers a multidisciplinary and international environment with excellent research facilities and infrastructure including a 7T and several 3T MRI scanners. The ideal candidate for position 1 holds a university degree (Masters or equivalent) in Neuroscience, Computer Science, Cognitive Science or similar with focus on computational aspects and has strong interests in the modelling of complex biological systems. Prior experiences in computational modelling and neuroimaging as well as programming skills are of advantage. The ideal candidate for position 2 holds a university degree (Masters or equivalent) in Neurobiology, Cognitive Science, Biology, Psychology or similar and has strong interests in systems neuroscience, neurotransmitter systems and large-scale network physiology. Prior experience in behavioural assessment and neuroimaging are of advantage. A solid background in statistics and proficiency in oral and written English are required for both positions. The positions are available for up to 4 years starting as soon as possible. Salary is based on the German public service regulations (E13/2, TV-L). The call will remain open until the positions are filled. Applications should be sent as a single PDF email attachment (max. 10-15 MB) to application_SFB1052(a)cbs.mpg.de <mailto:application_SFB1052@cbs.mpg.de> quoting reference number “SFB1052”. Complete Applications include cover letter, CV, one letter of reference and copies of university degrees and additional certificates. Please state explicitly which position you wish to be considered for. The MPI and University Clinic Leipzig are equal opportunity employers. Applications from female scientists are particularly encouraged. Handicapped applicants with equal qualification are preferred. Informal inquiries may be made to Dr. Annette Horstmann (horstmann(a)cbs.mpg.de <mailto:horstmann@cbs.mpg.de>) and Dr. Jane Neumann (neumann(a)cbs.mpg.de <mailto:neumann@cbs.mpg.de>). --------------------------------------------------------- Annette Horstmann, PhD Department of Neurology Max-Planck-Institute for Human Cognitive and Brain Sciences & IFB AdiposityDiseases, University Hospital Leipzig Neurocognitive Models of Behavioral Control in Obesity, SFB 1052 Stephanstraße 1A 04103 Leipzig Germany phone +49 (0) 341 99 40 2258 fax +49 (0) 341 99 40 2221 e-mailhorstmann(a)cbs.mpg.de <mailto:horstmann@cbs.mpg.de>

12 years, 1 month

Fwd: Postdoctoral researcher - University of Cambridge

by Gary Green

Postdoctoral researcher University of Cambridge, Cam-CAN Research Project, Department of Psychology Vacancy Ref: PJ00953 Salary: £27,854 - £36,298 pa Applications are invited for a 2-year post-doctoral researcher to join the Cambridge Centre for Ageing and Neuroscience (Cam-CAN). 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 continue ongoing analyses of the 700 dataset, carry through the second stage fMRI and MEG studies, and play a key role in integrating the various Cam-CAN cognitive and imaging data-sets using multivariate and multimodal neuroimaging analysis methods. The appointee will be a cognitive neuroscientist with 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 cognitive neuroscience, neuroimaging methods, applied statistics or cognitive ageing. Knowledge of and experience in advanced MEG imaging analyses, particularly connectivity analysis is essential, and it would be an advantage to have some experience of fMRI. Excellent statistical, computer programming (MATLAB and/or Python) and MEG analysis (SPM, Fieldtrip) skills are essential. Candidates should be careful, efficient, able to communicate effectively, and enjoy working as part of a diverse and energetic interdisciplinary team. The applicant will be based in the Centre for Speech, Language and the Brain, Department of Psychology. 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 in the form of a covering letter, CV with full publication list, and completed cover sheet (CHRIS/6 Parts 1 and 3 only, including details of three referees) should be sent to Mrs M Dixon at csladmin(a)csl.psychol.cam.ac.uk or by post to Mrs Marie Dixon, Centre for Speech, Language and the Brain, Department of Psychology, University of Cambridge, Downing Street, Cambridge, CB2 3EB. The CHRIS/6 can be downloaded from http://www.admin.cam.ac.uk/offices/hr/forms/chris6/. The Vacancy number for this position is PJ00953. Closing date: 4th April 2013. Start date: to be negotiated but no later than 1 October 2013 Limit of tenure: The funds for this post are available for 2 years. For further details, please see our website at http://www.cam-can.com/vacancies/index.html 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.

12 years, 1 month

Fwd: Postdoctoral Research Fellowship - Oslo University Hospital

by Gary Green

Applications are invited for a Postdoctoral Research Fellow position at the K.G. Jebsen Centre for Psychosis Research, Division of Mental Health and Addiction, Oslo University Hospital, Oslo, Norway. http://tinyurl.com/postdoc-position The fellow will take a lead role in a study funded by the Research Council of Norway investigating the acute behavioral, cognitive and brain functional (fMRI) effects of oxytocin administration, and is part of an Industry-Academia collaboration. The fellow will also be able to take an active part in several ongoing large-scale multimodal imaging genetics and psychiatry projects coordinated from the K.G. Jebsen Centre. The research will be carried out in a cross-disciplinary team in the MRI and biostatistics groups at the centre, which was recently granted Centre of Excellence Status by the Research Council of Norway, in close collaboration with OptiNose AS, an innovative biomedical company. The ideal candidate will be highly motivated, hold a PhD in psychology, neuroscience, engineering, neuroimaging, medicine or equivalent, have experience in designing and coordinating experimental research involving fMRI, and a strong background in neuroimaging analysis (FSL, FreeSurfer, SPM, Matlab etc). We offer an ambitious and exciting research environment with a strong multidisciplinary profile and excellent opportunities for academic development. A postdoctoral position in Norway is equivalent to the US position of assistant professor and is intended to prepare and qualify candidates for a research career. Salary is in the range between ltr. 57 and ltr 65 (468 400 NOK - 542 900 NOK, roughly USD 81k-95k), depending on qualifications. Pension and national health insurance is included in addition to several attractive welfare arrangements. Please address any informal enquiries to prof Ole A. Andreassen, MD, PhD (o.a.andreassen(a)medisin.uio.no) or assoc prof Lars. T. Westlye, PhD (l.t.westlye(a)psykologi.uio.no). Link to job ad and online application system: https://www.webcruiter.no/WcMain2/advertviewpublic.aspx?oppdragsnr=17166925…

12 years, 1 month

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