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programming skills (e.g. Python, Matlab). Ability to analyse spatial (GIS) and large operational datasets. Interest in interdisciplinary work involving computer science. Strong written and verbal English
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quantitative data analysis and scientific programming, preferably in Python is required. Experience with hyperspectral imaging, atmospheric spectroscopy, greenhouse-gas measurements, UAV observations, radiative
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, dynamic vegetation models, or related biodiversity forecasting approaches; advanced programming skills in R and/or Python and experience with reproducible analytical workflows; experience handling large
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. Strong skills in scientific scripting (R, Python) and programming. Experience with High-Performance Computing (HPC) environments and the management/analysis of large datasets. The ability to
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nanophotonics who are highly motivated and eager to pursue world-class research in theoretical quantum nano-optoelectronics. Experience with scientific programming is expected, while familiarity with numerical
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interaction (quantum optics, nonlinear optics, spectroscopy or plasmonics). A background in theoretical chemistry is also welcome. Be proficient in scientific programming (Python or Fortran) and
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employment, list of programming skills mastered by the applicant, and teaching and supervision experience. Letter of motivation , including details on qualifications within the subject area (max. one page
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with NV magnetometry, scanning SQUID magnetometry or similar techniques is a strong advantage. Experience in programming, ideally using Python. Structured work attitude and ability to plan and carry
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, Computational Biology, Computer Science, Mathematics, Physics, or a related field Strong experience with programming in Python, R, or similar languages Background in machine learning or deep
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computational skills, including substantial experience with command-line environments, scripting/programming (R, Python and Bash), high-performance computing and development of reproducible analysis pipelines