279 computer-programmer-"https:"-"U"-"UCL" "https:" "https:" "https:" "https:" "https:" "J" "J" positions at DAAD
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letter Application Application https://www.cens.lmu.de/en/support/career-at-cens/ https://www.cens.de Contact LMU München Center for NanoScience Address StreetGeschwister-Scholl-Platz
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available in the further tabs (e.g. “Application requirements”). Objective This scholarship programme offers you the opportunity to complete your doctoral degree in Germany. The scholarships are funded by
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related fields demonstrated expertise in one or more of the defined focus areas strong analytical and problem-solving skills, with experience in experimental design, data analysis, or computational modeling
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mechanisms using computer simulations and the methods of non-equilibrium statistical physics. The Research The PhD student will work under the supervision of Dr. Philip Bittihn within the European Doctoral
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institution. At the Faculty of Computer Science, Institute of Artificial Intelligence, the Chair of Machine Learning for Computer Vision offers two full-time positions as Research Associate / PhD Student (m/f/x
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institute of IFPEN implementation of the planned research program, evaluation and interpretation of the results, elaboration and presentation of the research project-related scientific graduation work
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to you on the website: https://tu-dresden.de/karriere/datenschutzhinweis . This project has received funding from the European Union’s Horizon Europe research and innovation program under the MARIE
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international work environment Scientific excellence and extensive professional networking opportunities A structured PhD program with a comprehensive range of continuing education and networking opportunities
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available in the further tabs (e.g. “Application requirements”). Objective This scholarship programme offers you the opportunity to continue your education in Germany with a postgraduate or continuing course
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the DFG Priority Programme “Molecular Machine Learning” and embedded in the research project “Multi-fidelity, active learning strategies for exciton transfer in cryptophyte antenna complexes”. The PhD