28 parallel-programming "https:" Postdoctoral positions at Aarhus University (AU) in Denmark
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Two postdoc positions in Thermofluid Design and Digital Modeling of Cooling Systems for Electroch...
related discipline. For both positions we expect: A strong background in thermodynamics, fluid mechanics, and heat transfer. Solid scientific programming skills, for example in Python or MATLAB. A
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neuroinflammatory process in people with Parkison’s disease. The study will be complementary to a parallel project carried by another postdoc, which is focused on similar investigation on brain cells in donated
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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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-throughput experimental workflows. Protein biochemistry, molecular biology, or functional studies of protein regulation. Programming, scripting, or computational workflow development, including R or
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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
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underwater, marine or field robotics is an advantage a track record of publications in relevant international conferences and journals strong programming skills the ability to work independently as well as in
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candidate should have: A PhD in chemical oceanography, marine science, or a related discipline. Excellent programming skills in R and Python or similar. Advanced statistical and data-analysis skills