489 machine-learning "https:" "https:" "https:" "https:" "https:" "University of St" PhD positions in Germany
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JuDocS, the Jülich Center for Doctoral Researchers and Supervisors: https://www.fz-juelich.de/en/judocs Targeted services for international employees, e.g. through our International Advisory Service In
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microbial electrosynthesis cell for the treatment of aquaculture waste water More details: https://www.science.hr/jobs/221198/development-of-a-microbial-electrosynthesis-cell-f/ Development of an MRI-based in
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Description/content Candidates will prepare a doctoral thesis in the field of neuroscience (project duration: four years). Research topics are olfaction, vision and acting, robotics, learning and memory
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. Only online applications will be accepted. AVAILABLE PROJECTS: Nanoscience: Application of bistable DNA devices Nanoscience: Synthesis of Carbon-Nanostructures on Inert Surfaces Biophysics: Learning
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check our website for more information: https://www.uni-goettingen.de/de/635183.html PhD students with their own funding (e.g. DAAD) can join at any time. Tuition fees per semester in EUR None Combined
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structured continuing education ( https://www.fz-juelich.de/en/judocs ) Targeted services for international employees, e.g. through our International Advisory Service The position is for a fixed term of 3,5
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Degree PhD Systemic Neurosciences Course location München In cooperation with Find out about our network of collaborating research institutions at https://www.gsn.uni-muenchen.de/research/network
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of Law's lecture programme. The latter is designed to accomplish the following: support and guide students in their thesis work teach students the necessary skills for successful legal scientific research
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programmes: any time Application deadline 15 January, 15 May and 15 September of each year See the website for details: https://medical-neurosciences.charite.de/en/application_admission
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data. Develop and apply machine learning models to estimate uncertainty in climate impact statements. Analyse spatial and temporal patterns and trends in climate-extreme impacts. Cross-validate