50 computer-programmer-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"https:" positions at EPFL
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, engineering, computer science, or a related field. Experience with inverse problems and 3D reconstruction methods for tomography, laminography, or a closely related modality. Strong scientific programming in
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the strategic plan for the launch of MCAS, intially focused on the EPFL Valais Wallis site, including its mission, governance structure, access model, service portfolio, and operating model. Design a financial
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computational modeling, mathematical modeling, or experimental psychology. Profile We thrive on interdisciplinary collaboration. You should hold a PhD in musicology, computer science, cognitive science
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. Prior experience with animal models, 3D culture systems and/or computational analyses will be an advantage. The salary will be according to EPFL standards. Informations Formal applications should be
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–5 years of experience in startups, venture building, accelerators, technology transfer, or innovation programmes. Tech Commercialisation: Strong understanding of academia-to-market pathways with
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Computer Science or CFC, with at least 3-5 years of working in the IT field. Customer-focused, easy to approach, calm and flexible mindset: you enjoy working with people. You enjoy troubleshooting problems and
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Computer Science, Data Science, Artificial Intelligence, Machine Learning, or a related field. Exceptional BSc candidates with strong engineering experience will also be considered. Experience in AI and neural
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in complex communities. The project combines experimental and computational approaches, including high-throughput sequencing, bioinformatics, microbial isolation and cultivation, physiological
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following is an asset: building technology, LCA methods, computational design, structural design, material testing & characterisation, fabrication or prototyping Experience in building energy performance
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Experience with one or more of the following is an asset: material science, material fabrication or prototyping, computational design Self-driven with the ability to work both independently and collaboratively