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, including time series analysis and statistics (e.g. mixed effects modelling) Capacity to develop computer code and experience with programming languages (Matlab, Python, R) and geospatial tools (e.g. ArcGIS
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should have documented background in the following areas: Electrodynamics Data analysis for scientific applications Programming (e.g., Matlab, Python, C, C++) for scientific applications Previous
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should have documented background in the following areas: Electrodynamics Data analysis for scientific applications Programming (e.g., Matlab, Python, C, C++) for scientific applications Previous
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- experience in programming (e.g. Matlab and/or Python) - experience in fieldwork - proficiency in scientific writing - skills in communicating with people who have different backgrounds Your workplace
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assessment criteria Experience with programming (e.g. Python, MATLAB, Fortran or similar), numerical modelling, remote sensing, large datasets, or fieldwork is considered meritorious. Employment process
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which must be in advanced courses in one of these areas. Alternatively, you have gained essentially corresponding knowledge in another way. Experience with programming (e.g., Python, MATLAB, C/C
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courses in one of these areas. Alternatively, you have gained essentially corresponding knowledge in another way. Experience with programming (e.g., Python, MATLAB, C/C++ or similar) and an interest in
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Knowledge of sodium- or lithium-ion batteries Experience with electrochemical methods Prior experience with data analysis and programming (e.g. Python or Matlab) Experience working in industrial
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image analysis, deep learning as well as mathematics. You have substantial expertise in programming, especially in Python and Matlab. You are independent, meticulous and work efficiently. Since
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, transforms, optimization). Programming and simulation experience (for example MATLAB, Python). Strong written and oral communication skills in English. Ability to work independently and in teams. Curious