514 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" "Université de Bordeaux " PhD positions in Germany
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. Only online applications will be accepted. AVAILABLE PROJECTS: Nanoscience: Application of bistable DNA devices Biophysics: Learning in living adaptive networks Biophysics: High-resolution structural
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German are fine, if the applicant is willing to learn sufficient German to contribute to teaching Bachelor courses in the area of chemistry in German after one year) Structured, target-oriented and
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regulations. Further information on data protection and the processing of personal data can be found at: https://www.isas.de/en/datenschutz . The closing date for applications is March 25, 2026. Please apply
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information at: http://www.ifw-dresden.de The Institute of Solid State Research at the IFW Dresden offers a PhD Position (m/f/d) “Self-Assembled Rolled-Up Microcoils for Solid-State Nuclear Magnetic Resonance
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regulations. Further information on data protection and the processing of personal data can be found at: https://www.isas.de/en/datenschutz . The closing date for applications is March 25, 2026. Please apply
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research areas. New insights and synergetic effects resulting from collaboration between inherently different viewpoints of separate fields typically accompany this endeavour. Our task force on machine
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, medical informatics, databases, data mining, machine learning, applied mathematics, biomedical modelling and analysis of complex networks. Joint data science projects between the different partners
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Degree Dr rer nat Course location Münster Teaching language English Languages English only Programme duration 6 semesters Beginning Only for doctoral programmes: any time Application deadline https
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The Bernhard Nocht Institute for Tropical Medicine (https://www.bnitm.de/en/ ) is the largest Research Institute for Tropical Medicine in Germany and is the National Reference Centre for Tropical
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tailored computational methods are needed. This project aims at combining probabilistic machine learning methods with prior knowledge in the form of graphs to analyze and predict food-effector systems. Key