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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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programming languages (Matlab, Python, R) and geospatial tools (e.g. ArcGIS) Demonstrated skills in handling and analysis of large datasets Consideration will also be given to good collaborative skills, drive
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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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. Flexibility and an interest in interdisciplinary research are considered strong assets. Other assessment criteria Experience with programming (e.g. Python, MATLAB, Fortran or similar), numerical modelling
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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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with proven advanced experimental capabilities and excellent programming skills (e.g. C++, ROS, Matlab, etc.). You should have a strong vision to evaluate and demonstrate the research findings in real
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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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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