96 programming-"https:"-"https:"-"https:"-"https:"-"IDAEA-CSIC" positions at ETH Zurich in Switzerland
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for developing advanced experimental techniques Programming experience (Python, MATLAB, or similar) Excellent written and spoken English Experience in one or more of the following areas is advantageous, but not
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. Experiences with molecular dynamics (MD) simulation, machine learning, and strong programming skills (Python) are highly advantageous. Proficiency in English. Good communication skills. Good social competence
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, geophysics, physics or a closely related field, completed by the start date Strong scientific programming in Python, and comfortable working with version control (git) in a collaborative codebase Fluent
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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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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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-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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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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): materials discovery, advanced structural characterization, electronic materials, and quantum materials, 2D-materials and their applications in electronic and optoelectronics. The research programme at
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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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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