367 coding-"https:"-"Prof"-"FEMTO-ST" "https:" "https:" "https:" "https:" "https:" "https:" "P" "I.E" positions in Denmark
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resources, like source code, hardware design, videos, etc. A 2-minute video of yourself explaining why you are a fit for the position You may apply before obtaining your master's degree, but you cannot begin
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progress in our ability to read and write genomic code, combined with advances in automation, analytics and data science, has fundamentally changed the scope and ambition of harnessing the potential
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the structuring of data material and thematization/coding. International symposium Support the planning and execution of an international symposium with 20-25 Danish and international researchers (invitations
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. The ideal candidate will have: Experience in developing novel algorithms. Experience in coding in python and preferably C/C++. Experience in frontend engineering, including but not limited
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. The duration of the position is three years. Your work tasks The PhD project is centred around advanced CFD modelling of liquid green fuel (methanol and ammonia) combustion under engine-like conditions, i.e., in
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Postdoctoral Researcher Position in Ecological Knowledge-Guided Machine Learning at Aarhus Univer...
ecological processes, i.e., vertical turbulent diffusion, phytoplankton production and consumption, greenhouse gas emissions, etc., to develop hybrid models. Performance will be compared to several 1D aquatic
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proteins by advanced analytical techniques, i.e. chromatography and mass spectrometry and preferentially also within milk proteins and digestibility First-authored publications in leading international
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proteins by advanced analytical techniques, i.e. chromatography and mass spectrometry and preferentially also within milk proteins and digestibility First-authored publications in leading international
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, or equivalent) in Public Health, Medicine, Pharmacy, Epidemiology, or a related discipline • Strong interest in epidemiological methods, data analysis, and coding (e.g., R, Stata, or similar) • Interest in
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-constrained machine-learning (ML) models in simulations of turbulent flows. You are expected to contribute to research and development in data-driven methodologies for turbulence modeling in LES (i.e., wall and