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performance computing numerical methods in our state-of-the-art open source micromagnetic model, MagTense. MagTense is based on a core implemented in the Fortran programming language, and it relies
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considered an asset in these positions. Applicants must also be able to demonstrate excellent ability to code with or learn computer programming languages, such as C++, C#, Python, and/or Matlab
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modelling, preferably WRF Experience of scientific programming and running code on HPC systems Experience with Fortran, Python and Linux Shell Any of the following is advantageous but not essential
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related field Experience with Earth System or biogeochemical modelling Strong programming skills (e.g., Python, R, MATLAB) and experience with advanced machine learning modelling A strong interest in
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English in one PDF file. The file must include: Application (cover letter) CV Academic Diplomas (MSc/PhD – in English) List of publications Research experience and plan (Please describe your previous
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independently Excellent English and basic knowledge of the Danish language As a formal qualification, you must hold a PhD degree (or equivalent) in environmental engineering or a similar scientific area. We offer
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properties. Ability to work independently, to plan and carry out complicated tasks and to be part of a large, dynamical group Good communication skills in English, both written and spoken We offer DTU is a
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on the intersection of data science, statistics and machine learning, all with applications to wind and solar energy science. You will be a part of an international team developing tools to plan and operate hybdrid
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programming and analytical skills. Ability to work independently and in collaboration with diverse teams. We offer DTU is a leading technical university globally recognized for the excellence of its research
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and periods of calm and quiet individual work by the PC. You are knowledgeable and respectful about the Arctic and ideally master Greenlandic or alternatively you know Danish or another Nordic language