318 programming-"https:" "https:" "https:" "https:" "https:" "Data driven Materials Modeling" positions in Switzerland
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- OTCF (Osteosynthesis & Trauma Care Foundation) Research Grants 2026
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science or Physics You have developed a keen interest in medical imaging physics, signal and data processing Very good programming skills (C, Matlab/Python, TensorFlow/PyTorch) and a passion for both theoretical and
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research interests and plans in the context of CERN's scientific programme. Any document you consider relevant to your application. Eligibility and closing date: Diversity has been an integral part of CERN's
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successful completion of studies, the PhD degree will be awarded by ETH Zurich. Candidates should have experience in computational modelling, numerical simulation, or data-driven modelling. Strong programming
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knockout, activation, and interference screens to uncover novel therapeutic targets and contribute to the group's translational programs.
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program is expected to contribute to the aims both of the DEE and of the Sense (interdisciplinary center for research, innovation and training in sensory sciences). Ensure the management of a research
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environment. The Postdoctoral Fellowship Program, made possible via our Strategic Partnership with Halter Group AG , will fund two, two-year postdoc positions in this next round. The goal is to advance
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empirical perspectives. The NOMIS Fellowship Program supports groundbreaking research projects related to how images act as models or paradigms in scientific and aesthetic contexts. We are interested in
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-particle analysis Semiconductor nanocrystals, quantum dots, or other nanoscale materials Machine learning Scientific programming and quantitative data analysis Prior experience with every technique used in
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develop an internationally recognized competitive research program sustained by external funding. Significant teaching experience at university level of human general endocrinology and endocrine physiology
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Proficiency in scripting and programming (Python, Bash, Git) We count as an advantage your possible experience with (optional technical skills): Experience with Sensitive Data environments (Trusted Research