20 computer-programmer-"https:"-"https:"-"https:"-"https:"-"https:" Postdoctoral positions at Aarhus University (AU)
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of Molecular Biology and Genetics and to https://nat.au.dk/ and http://www.au.dk/ for information on Faculty of Natural Sciences and Aarhus University, respectively. Place of work and area of
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, with an annual intake of ~120 students. For more information, please visit: http://mbg.au.dk/ – Department of Molecular Biology and Genetics https://nat.au.dk/ – Faculty of Natural Sciences http
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Position as postdoc in Biochemical and functional characterization of milk-derived extracellular ...
. Please refer to http://mbg.au.dk/ for further information about The Department of Molecular Biology and Genetics and to https://nat.au.dk/ and http://www.au.dk/ for information on Faculty of Natural
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Aarhus C and the Aarhus University Energy Research Facility located at AU Campus Viborg (https://dca.au.dk/en/about-dca/au-foulum). Who we are The Department of Biological and Chemical Engineering (BCE
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more about the department and sections here: https://bce.au.dk/en/research/key-areas-in-research-and-development What we offer The department/centre offers: a well-developed research infrastructure
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infrastructure and a strong commitment to scientific excellence. More information: https://mbg.au.dk What we offer We offer: A unique opportunity to take an active role in establishing and shaping a
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of Electrical and Computer Engineering at Aarhus University, Denmark, invites you to apply for a postdoc position. The position is fixed-term from 15 January, 2027 to 31 March, 2028. Expected start
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. Your profile Applicants should hold a PhD in computer science, bioinformatics, or a related field, or expect to complete it before the start date. They should have research experience in deep learning
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. Qualifications Applicants must hold a PhD in remote sensing, computer science, atmospheric or environmental science, geoscience, physics, engineering or a related discipline. Experience with
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, Computational Biology, Computer Science, Mathematics, Physics, or a related field Strong experience with programming in Python, R, or similar languages Background in machine learning or deep