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, neuroscience and personalised medicine. The Department of Biomedicine provides research-based teaching of the highest quality and is responsible for a large part of the medical degree programme. Academic staff
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-year period and is funded by a Carlsberg Foundation Accomplish Grant to Prof. Nanna B. Karlsson. About the position This position is part of the research programme REGLA, investigating the physical
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after you have submitted your application, you must send this person’s details (name, job title, place of work, and email address) as well as the name of the position you have applied for to: HR.Nattech
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submitted your application, you must send this person’s details (name, job title, place of work, and email address) as well as the name of the position you have applied for to: HR.Nattech@au.dk Formalities
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and will involve computational and organic chemistry, biophysics and structural biology. The project will be in collaboration with the Gehringer lab, University of Tübingen. Information
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program focusing on methodological as well as transferable skills, including dissemination, collaboration, and work planning CPPEM as a whole spans research from pharmacoepidemiology and clinical studies
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the project include collecting YouTube or social media data and digital news content, using manual and computational methods to analyze this content, and collaborating with the European project team on a cross
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Postdoc in experimental studies of phase behavior of ABC-miktoarm star block copolymers in thin f...
Experience with image analysis Experience with coding and high-performance computing, for example in python, C, etc. Experience with polymer and/or block copolymer physics and/or chemistry Experience with
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with demographic methods, longitudinal data analysis, or life-course analysis. Further information about the position can be obtained from Head of Administration Astrid Holm Nielsen, e-mail: astni
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in electrical engineering, computer engineering, computer science, or similar. Strong background in communication systems, optimization, or machine learning for networked systems. Experience and