647 programming-"https:"-"FEMTO-ST"-"UCL"-"https:"-"https:"-"https:"-"https:" positions in Germany
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training and further education programs at our UKE Academy for Education and Careers Opportunities to contribute to our “UKE INside” personnel policy through cross-professional and cross-hierarchical
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Description Thinking of doing your PhD in the Life Sciences? The International PhD Programme (IPP) Mainz is offering talented, young scientists the chance to work on cutting edge research
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conferences (e.g., Nature portfolio, MICCAI, NeurIPS, ICML, CVPR/WACV) • Experience with multimodal representation learning and/or vision-language models in a medical context • Strong programming skills in
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Chemistry, Biological Oceanography, Marine Geosciences and Marine Observations work on an interdisciplinary basis in a joint research program. The Leibniz Institute for Baltic Sea Research Warnemünde has a
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of a company pension scheme as well as an allowance for capital-forming benefits A varied further education programs, sports activities, joint leisure events Health days and company integration
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Mechanical Engineering, Computer Science, Mechatronics or a comparable subject Solid background in programming (e.g., Python or C++) is essential Experience with machining processes or ML approaches
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experimentation using disease models What we offer A structured PhD training program with close supervision Opportunities for independent and collaborative research Targeted training in state-of-the-art
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(TIB ) – Leibniz Information Centre for Science and Technology – Program Area C, Research and Development, is looking to employ a Research Software Engineer for Digital Research Infrastructure (m/f/d
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collaboration Structured PhD-training programme with a wide range of professional development opportunities Salary according to tariff agreement, extra annual payment, and company pension plan (VBL) A respectful
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program. Requirements Very good master's degree in computer science, data science, mathematics or a related discipline; relevant research experience (e.g., master's thesis) in the field of NLP/ML/text