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from a senior researcher for data analysis. You will be based in the WindLab - one of the university's most modern office and laboratory spaces - while also having the opportunity to work flexibly and
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Computer-adaptive methods and multi-stage testing Application of machine learning in psychometrics Predictive modeling of educational data Methodological challenges in cohort comparisons Advanced meta
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“Light- versus electron-induced spin-state switching of complexes on insulating layers” within the Priority Programme SPP 2491 “Interactive Spin-State Switching” This DFG-funded project aims
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will receive high quality supervision from the chair’s senior academic staff and might be involved in teaching at under/postgraduate level as well as funding acquisition and (global) outreach, if desired
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from the chair’s senior academic staff and might be involved in teaching at under/postgraduate level as well as funding acquisition and (global) outreach, if desired. International networking and
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least one of areas like animal communication research, probabilistic modeling, or language evolution is a strong requirement. As the position involves computational / mathematical modeling in the form
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to work in a team and in a research network • Computer programming experience • Knowledge in electronics • Experience in the field of optics and quantum optics is desirable We offer: • A truly unique
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identification of spider mite infestation foci and needs-based beneficial insect application in outdoor cucumber cultivation’, which is funded by the BMBF within the funding programme KMU-innovativ: Bioökonomie
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27.06.2025 Application deadline: 13.08.2025 The following position is available at the Paleoanthropology Section of the Faculty of Science beginning November 1st 2025 or shortly after. PhD Researcher in Primate Communication / Language Evolution (m/f/d, E13 TV-L, 75%) The position will be filled...
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-edge Machine Learning applications on the Exascale computer JUPITER. Your work will include: Developing, implementing, and refining ML techniques suited for the largest scale Parallelizing model training