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-domain context. Good knowledge of programming languages (e.g. Python, R, Java, C#, C++) Good knowledge of object orientation and at least basic knowledge of UML Knowledge in the field of machine learning
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(RTG2530) climatic drivers” which starts earliest in April 2026. The Research Training Group 2530 (RTG 2530) is to fill existing knowledge gaps on biota-mediated effects on estuarine (River Elbe) C cycling
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) • The successful candidate will have the opportunity to work towards a PhD Required qualifications: • Completed university degree (M.Sc. or comparable) in biology or a related field • Solid knowledge of molecular
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related field research experience, evidenced by publication(s) or a relevant M.Sc. thesis, good knowledge of algorithms and discrete mathematics excellent written and spoken English skills knowledge
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) • The successful candidate will have the opportunity to work towards a PhD Required qualifications: • Completed university degree (M.Sc. or comparable) in biology or a related field • Solid knowledge of molecular
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. Qualifications: • Completed academic university degree (Master level) in mathematics, computer sciences, physics or a related discipline • Knowledge of programming, machine learning methods, mechanistic modelling
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modeling and computational workflows Knowledge about machine learning: statistics and deep learning Experience in data analysis, visualization and presentation Good programming skills in languages such as
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Description The International Max Planck Research School “Knowledge and Its Resources: Historical Reciprocities” (IMPRS-KIR) invites applications for 3 doctoral positions, to begin on September 1
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analysis using microscopy and time-resolved spectroscopy, testing reusability of heterostructures, dielectric engineering concepts, and join work with sustainability experts; acquiring knowledge and tools
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laboratory is required Knowledge of handling radioactive materials and radiochemical methods is an advantage Excellent knowledge of a broad range of microbiological, chemical and analytical methods