111 programming-"https:"-"https:"-"https:"-"https:"-"https:"-"Department-" positions in Switzerland
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Program, creating value for participating companies while strengthening long-term engagement with EPFL. Main duties and responsibilities Foster trustful relationship with a portfolio of companies having a
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The PhD will form part of a broader interdisciplinary research programme in mobile health and AI, with applications in areas such as mental well-being, fall prevention, stroke rehabilitation, and
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-prevention antibody/nanobody program from discovery toward the clinic (start immediately or by arrangement). Your path: from fellowship to founding Over the 12 months you will drive the antibody program toward
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-term sustainability and the local appropriation of the DOUV. Integrate the data produced by WP1, WP2 and WP3 into the tool; programme the automatic ingestion of Sentinel-2 imagery and the recalibration
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to OpenCHAMI and related open-source initiatives, collaborating with the broader HPC community and contributing to high-impact programs at both the national and international levels, including HPSF, OpenCHAMI
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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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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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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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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