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documentation. - Supporting the team in preparing and implementing various informed machine learning models for benchmarking and analysis. Desirable: - Currently enrolled in a Bachelor's or Master's program in
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Data Science programs. Job description: The advertised position is planned for work in our EU project Waste Water Pathogens (WaWaPa). The project of the European Health and Digital Executive Agency
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different spectral ranges, and engineer materials through hybrid light-matter states. Our group is funded by the Emmy Noether Programme of the German Research Society (DFG). We closely collaborate with
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• Programming skills, especially in the field of scientific computing and data analysis and web presences • Knowledge of data processing, network architectures and operating system environments. • Good knowledge
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Universität Berlin. The Mexican-German interdisciplinary project is funded by the German Research Foundation (DFG) and works in close cooperation with the Humboldt-Universität zu Berlin, the Universität Potsdam
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at a leading German university? If so, we invite you to apply! The newly established Collaborative Research Center CRC 1772 "mol2Dmat" investigates novel collective states and quantum phenomena in
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- Team player who is able to formulate clear scientific hypotheses and collaborate effectively with other DFG Research Group partners. - good command of written and spoken English. - German language skills
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: Providing support with: - software maintenance and extension of a simulation package - the development of training material - processing of bug reports, user enquiries (mailing list), etc. - programming
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(natural language processing) and machine learning methods. We are looking for very good graduates of Master's programs with a strong interest in topics of accounting or auditing who would like to dedicate
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political economy - English (C1) and knowledge (reading skills, B1) of more than one European language other than English is an advantage - BA or MA students in North American Studies (with an interest in