Arbejde Post Doc position in Constructing and Modeling Whole Brain Structural Connectivity Networks from Diffusion MRI data Hovedstaden Danmarks Tekniske Universitet - jobtilbud

GÆLDER
stillingsbetegnelse:
Post Doc position in Constructing and Modeling Whole Brain Structural Connectivity Networks from Diffusion MRI data

jobbeskrivelse:
DTU Compute would like to invite applications for a half time Post Doc position starting August 1st, 2015 and ending October 31st 2017. The project is financed by the Lundbeck Foundation. Project Description Diffusion magnetic resonance imaging (dMRI) has become a key non-invasive brain imaging techniques used to quantify the structural connectivity of the brain. While this imaging modality can be used to derive connectivity estimates inferring the global patterns of structural connectivity at the whole brain level poses an important modeling challenge. The main tasks in this position will be to develop and apply processing pipelines for constructing structural connectivity graphs based on diffusion MRI data in high resolution. Further objectives will be to apply statistical Bayesian modeling approaches to learn structure in these systems both at the individual and group level as well as joint modeling of structural and functional connectivity. Key components in the project thus include diffusion MRI data processing and structural connectivity analysis using Bayesian modeling approaches .The project will be based on current work on non-parametric Bayesian models of brain connectivity and will be part of a larger project “Non-parametric Relational Modeling of Functional and Structural Brain Connectivity” funded by the Lundbeck Foundation (2012-2017) aiming at inferring whole brain connectivity from fMRI and diffusion MRI data. Requirements Candidates must have a PhD degree in engineering or equivalent academic qualifications. Experience in multivariate modeling approaches for neuroimaging data in general and diffusion MRI data in particular is a definite advantage. A high proficiency using diffusion MRI neuroimaging software is very important while the applicant is expected to have a basic knowledge about the human brain. Excellent communication skills in English are essential. Salary and terms of employment The appointment will be based on the collective agreement with the Confederation of Professional Associations. The allowance will be agreed with the relevant union. Further information Further information concerning the available position can be obtained from Associate Professor Morten Mørup at Section for Cognitive Systems, DTU Compute, Technical University of Denmark. Further information concerning the application is available at DTU Compute. Application Applications must be submitted in Danish or English and we must have your online application by Sunday June 14th 2015. Please open the link in the red bar below: "apply online" (“ansøg online”). Applications must be submitted electronically as one single PDF file containing all materials (uploaded as “CV”). Applications must include: •application (letter of motivation) •CV incl. list of publications •documentation of a relevant completed PhD.-degree •course and grade list of bachelor and master degrees as well as PhD degree. Applications and enclosures received after the deadline will not be considered. All interested candidates irrespective of age, gender, race, disability, religion or ethnic background are encouraged to apply. DTU Compute conducts research and education in the fields of mathematical modeling and computer science. The expanding mass of information and the increasingly complex use of advanced technology in society demand development of advanced computer based mathematical models and calculations. The unique competences of the institute are in demand in IT innovation and production. DTU is a technical university providing internationally leading research, education, innovation and public service. Our staffs of 5,700 advance science and technology to create innovative solutions that meet the demands of society; and our 10,000 students are being educated to address the technological challenges of the future. DTU is an independent academic university collaborating globally with business, industry, government, and pu

Arbejdsgiver Navn: Danmarks Tekniske Universitet

Arbejdsgiver telefonnummer: 45252525

Arbejdsgiver faxnummer: 45881799

Job kort beskrivelse:
Undervisning og forskning på universiteter og højere læreranstalter

land: Danmark

region: Hovedstaden

krævede uddannelse: Ikke angivet

Kilde til jobtilbud: AMS, Offentlige arbejdsformidlinger, Danmark

GÆLDER

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