27 programming-"https:"-"https:"-"https:"-"https:"-"https:"-"INSERM" 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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quantitative data analysis and scientific programming, preferably in Python is required. Experience with hyperspectral imaging, atmospheric spectroscopy, greenhouse-gas measurements, UAV observations, radiative
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, dynamic vegetation models, or related biodiversity forecasting approaches; advanced programming skills in R and/or Python and experience with reproducible analytical workflows; experience handling large
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proficiency and intermediate Danish proficiency (some teaching tasks are at the BSc level, which is in Danish). Scientific computing, possibly with different programming languages (e.g., Python, MATLAB
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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
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English. The following qualifications and experience are required: Scientific computing, possibly with different programming languages (e.g., Python, Julia, C#, C++ MATLAB). Parametric and algorithmic