843 data-"https:" "https:" "https:" "https:" "https:" "https:" "SciLifeLab" "IFM" "IFM" positions in Denmark
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. The postdoc will play a central experimental role in the project and work closely with a dedicated postdoc supporting advanced computational analysis and interpretation of data. The position offers substantial
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responsible business and governance is organised around various research environments. Further information is available here: https://www.cbs.dk/research/department-management-society-and-communication
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Applications are invited for a postdoctoral position in the group of Dr Aleksandr Gavrin ( https://mbg.au.dk/a-gavrin/ ) at the Department of Molecular Biology and Genetics, Aarhus University
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possible (http://www.au.dk/en/internationalcentre/ias/), and the department will assist foreign candidates with finding a suitable place to live. Contact information Further information may be obtained by
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Analysis (CADA), which leverages the combined analytical efforts at the Department. Further information on CADA, as well as the Department and a description of the new research vision can be found at: https
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advanced data analysis, simulations, and/or mathematical modeling. The work involves close interactions with other employees in CaIFF and the principal investigators to foster methodological innovation and
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biotechnology, medical biotechnology, and electrochemical engineering, and more into new technologies and value-creating solutions that can also be used in the business community. For more information: https
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service and career counselling to expat partners. Please find more information here: https://internationalstaff.au.dk/relocationservice/ Please find more information about research opportunities at Aarhus
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Job Description Do you want to establish or further develop your career as a computer scientist in an international, research-centred technical university? Do you want to contribute to the education
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University. Dr Speed's research involves developing statistical methods for better analysing data from genome-wide association studies (GWAS), with a particular focus on improving our understanding of human