31 algorithm-development "https:" "Simons Foundation" Fellowship positions in Germany
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data-driven analysis algorithms for the assessment of thin-film solar cell fabrication processes within NOMAD Oasis installations. The team is responsible for the installation and development of (meta
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-funded AI research group “Fusing Deep Learning and Statistics towards Understanding Structured Biomedical Data (DeSBi)” development of deep neural networks and machine learning algorithms for the analysis
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and development. About your role: Condensed matter physics Atoms, Molecules and Optics Laser physics Detector development Structural Chemistry Structural Biology About you: Ph.D. completed within
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the application which project you are specifically interested in. Further details on the projects can be found here: https://www.fz-juelich.de/en/jcns/careers/fellowships/tasso-springer-fellowship-program Your
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description: - scientific services in research within the BMBF-project “ATLAS”, especially development of digital twins for liver cancer therapy evaluation/ development of patient-specific models decision
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/d). Project overview Protein design is a rapidly evolving field, with machine learning taking an increasingly important role in the development of novel protein biotechnologies. Yet, computer
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development of analyses and computational models of behavior and cortical functions tasks for personal scientific qualification (doctorate) Requirements: completed scientific university degree in neuroscience
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Charité–Universitätsmedizin Berlin (Dr. Rosanna Sammons); for further information, see https://www.sfb1315.de/ - development of network models of the CA3 region of the hippocampus - investigation
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candidates are welcome to submit their applications via the website of the College until 15 May 2026. Call for applications: https://www.college-uaruhr.de/fellowship/application/call-for-applications Where
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. Volker Haucke. The successful candidate will collaboratively apply and develop proteomic approaches to study the protein composition of organelles at the nanoscale level to unravel how cellular organelle