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Position: Post Doc in Physical Chemistry
Institution: Lund University
Department: Chemistry
Location: Lund, Scania, Sweden
Duties: Development of algorithms for nonparametric inversion of multidimensional relaxation-diffusion correlation data in magnetic resonance imaging
Requirements: PhD in Physics. Experience in computational diffusion MRI with focus on the areas of b-tensor encoding and diffusion compartment imaging for studying brain microstructure
   
Text: Login and apply English Swedish Norwegian Danish Finnish German Dutch Chinese (BETA) Polish French (BETA) Post doc in physical chemistry Login and apply Lund University, Faculty of Science, Department of Chemistry Lund University was founded in 1666 and is repeatedly ranked among the world’s top 100 universities. The University has 40 000 students and 7 400 staff based in Lund, Helsingborg and Malmö. We are united in our efforts to understand, explain and improve our world and the human condition. The Faculty of Science conducts research and education within Biology, Astronomy, Physics, Geosciences, Chemistry, Mathematics and Environmental Sciences. The Faculty is organized into nine departments, gathered in the northern campus area. The Faculty has approximately 1500 students, 330 PhD students and 700 employees. Job description Development of algorithms for nonparametric inversion of multidimensional relaxation-diffusion correlation data in magnetic resonance imaging. Qualifications PhD in Physics. Experience in computational diffusion MRI with focus on the areas of b-tensor encoding and diffusion compartment imaging for studying brain microstructure. Lund University welcomes applicants with diverse backgrounds and experiences. We regard gender equality and diversity as a strength and an asset. We kindly decline all sales and marketing contacts. Type of employment Temporary position longer than 6 months Contract type Full time First day of employment 2019-02-01 for two years Salary Monthly salary Number of positions 1 Working hours 100 City Lund County Skåne län Country Sweden Reference number PA2018/3563 Contact Daniel Topgaard, professor, 46 46 222 82 04, daniel.topgaard@fkem1.lu.se My Geborek, HR Officer, 46 46 222 48 53, my.geborek@science.lu.se Union representative OFR/ST:Fackförbundet ST:s kansli, 046-222 93 62 SACO:Saco-s-rådet vid Lunds universitet, 046-222 93 64 SEKO: Seko Civil, 046-222 93 66 Published 07.Nov.2018 Last application date 28.Nov.2018 11:59 PM CET Share links Login and apply Return to job vacancies Varbi Recruit recruitment system COOKIES Conditions and GDPR × Modal title
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