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towards the development of novel and innovative numerical techniques aiming at improving the integration between numerical simulations and geometric modelling and processing. Proof assistants such as Lean
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18,500 people, including over 14,000 students and 4,000 researchers from more than 120 different countries. Postdoc in ML-Based Co-Design at EPFL Mission The EPFL computer vision lab ( https
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physics, engineering, computer science, or a related field. Strong scientific programming in Python and experience with GPU processing of large-scale datasets. Experience with inverse problems and 3D
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facilities around the world. Profile We are looking for a person with: PhD in physics, engineering, computer science, or a related field. Experience with inverse problems and 3D reconstruction methods
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, environmental sciences or a related field, obtained (or close to completion) at the time of appointment. Solid experience in remote sensing and satellite image processing (Sentinel-2, MODIS, Landsat
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and processing strategies that can enable the fabrication of a wide variety of advanced functional materials and devices. We are seeking a candidate with experience either in a) the development of
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advanced computational modeling, mathematical modeling, or experimental psychology. Profile We thrive on interdisciplinary collaboration. You should hold a PhD in musicology, computer science, cognitive
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Information 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
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photonics in a young and dynamic team. Excellent infrastructure through the cleanroom at EPFL, the Lausanne center for ultrafast science, and the Quantum Science Center at EPFL. Competitive salary
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following fields: reactive magnetron sputtering, electron-beam lithography, theory of light-matter interaction, computer simulations using the method of Finite Differences in the Time Domain (FDTD