38 computer-science-"https:"-"https:"-"https:"-"https:"-"Mathjobs" Postdoctoral positions at EPFL
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international working environment Competitive salary and excellent working conditions – more information can be found on our website (https://www.epfl.ch/campus/services/human-resources/en/basic-starting-salary
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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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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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. Candidate profile Applicants should have a PhD in biomedical engineering, electrical engineering, computer science, data science, computational neuroscience, human movement science, psychophysiology
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verified formally. You will publish and present your work internationally. You are the ideal candidate if You hold a PhD in mathematics, computer science or a related field You have a strong background in
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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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management and in computer architecture domains, our ability to analyze data still falls behind the unstoppable data collection rates. Data-intensive applications are increasingly more demanding in
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transducers. You will contribute to the automatization of measurement routines, comprehensive characterization of fabricated samples and to bridging the area of microwave/millimeterwave/terahertz science and
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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