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Field
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command of English, good communication and team working skills Qualifications below are seen as merits Good Python programming skills, working knowledge of collaborative software development tools Hands
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understanding; Proficiency in programming in Python and deep learning frameworks such as PyTorch and TensorFlow; Excellent communication skills in oral and written English; Creativity, thoroughness, and a
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Computational Science or Data Science Compute-intensive Statistics or Applied Mathematics Proficiency in a relevant programming language, e.g., Matlab, Python, R, C/C++ is expected and practical or research
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to work independently and effectively Good command of English, good communication and team working skills Qualifications below are seen as merits Good Python programming skills, working knowledge
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Observation data analysis. You are fluent in Python and have solid experience with relevant machine learning and geospatial libraries such as PyTorch, TensorFlow, GDAL, rasterio, and zarr. You have experience
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following: Energy management and control for energy islands, Electricity and ancillary service markets, Programming (e.g., Python, GAMS) and power system simulation tools, Development of measurement and IoT
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English, including a track record of academic writing Relevant experience with data analysis and programming (e.g. python or R) and empirical data analysis (including statistics) Strong motivation and
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, e.g., time-series analysis, land use/land cover classification, machine learning methods Experience analysing and visualizing large remote sensing datasets in modern programming language (e.g. R, Python
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cleanroom processing of nanodevices Programming skills for electrical measurement scripts and data analysis, for example with Python or Matlab. Consideration will also be given to how the applicant’s
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, spectroscopic techniques (vibrational and X-ray spectroscopy), inorganic synthesis, and advanced data analysis (MATLAB, R or Python). Experience in thermodynamics and/or molecular modeling (e.g., molecular