27 data-science-"https:"-"https:"-"https:"-"https:"-"Computer-Vision-Center" PhD positions at EPFL
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background, and an outstanding MSc degree in Engineering, Computer Science, Physics, Applied Mathematics, or a related field. You should be proficient in or willing to learn generative deep learning – in
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international universities. CANDIDATE PROFILE We are looking for a PhD candidate with a strong analytical background and an outstanding MSc degree in Computer Science, Robotics, Chemical/Process
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composites, ceramics, and metals (Composites: https://doi.org/10.1016/j.matt.2026.102809 , https://doi.org/10.1021/acsmaterialslett.5c00407 ;Ceramics/Metals: https://doi.org/10.1002/adma.202504951
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Engineering, Mathematics, Computer Science, or a related quantitative field A strong mathematical background, including familiarity with optimization, probability, and the analysis of mathematical models A
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modelling satellite imagery and textual conflict data. Advances in vision-language representation learning will be explored to link the two sources of information through alignment pipelines, localisation
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. Main duties and responsibilities The Kim Laboratory at the École Polytechnique Fédérale de Lausanne (EPFL) ( https://www.epfl.ch/labs/upkim/ ) is seeking a highly motivated postdoctoral researcher to
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Mission We are offering a full-time (100%) PhD position at ENAC at EPFL, Lausanne, Switzerland, within the Plant Ecology Research Laboratory (PERL): https://www.epfl.ch/labs/perl/ The PhD project
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Observation, environmental modelling and geospatial data science. The position is part of Vertical Africa (VERTICAF), an interdisciplinary research project funded by the Swiss National Science Foundation
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Engineering, Manufacturing Engineering, Materials Science, Computer Science, Data Science, Software Engineering, or a similar degree with an academic level equivalent to a two-year master's degree. We offer
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, the Lausanne center for ultrafast science, and the Quantum Science Center at EPFL Competitive salary, coverage of conference costs, a dynamic and inspiring scientific community. Informations The