31 programming-language-"Data-driven-Materials-Modeling" Postdoctoral positions at EPFL
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characterization is required At least 2 peer-reviewed scientific articles Excellent comunication skills in English We offer A 1-year fixed-term contract (CDD), renewable. Competitive remuneration International
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skills Strong publication record (relative to your career stage) Independent, creative, and solution-oriented Excellent written and oral communication skills in English Strong motivation to explore new
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analyzing … Publication record (relative to your career stage) in internationally leading journals Independent, creative, and solution-oriented Excellent written and oral communication skills in English
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well as experience handling large datasets Independent, creative, and solution-oriented Good interpersonal skills, team player Good knowledge of English (written and spoken) We offer A dynamic and interdisciplinary
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handling large datasets Independent, creative, and solution-oriented Good interpersonal skills, team player Good knowledge of English (written and spoken) We offer A dynamic and interdisciplinary research
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academic research; Independent, self-driven, creative, solution-oriented, open-minded, team-player, and collaborative; Fluency in English (French is a plus); Enthusiasm in sports is a plus. Main duties and
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valuable. Strong communication and scientific writing skills in English. Ability to work effectively in a collaborative and international research environment. We offer Mentoring and support for professional
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that drastically reduces power and latency. We are looking for a Postdoctoral Researcher/Research Engineer with a background in Embedded Systems and Low-Level Programming to design the control logic that powers
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Modelling (BIM), Geographic Information Systems (GIS) or computer programming is a plus. A master's degree or professional experience in architecture is preferred but not required. The employment rate varies
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, normalizing flows, VAEs, generative transformers, or related methods. Strong programming skills and experience with modern deep learning frameworks. Experience with large-scale model training, distributed