19 computational-physics-"https:"-"https:"-"https:"-"https:" Postdoctoral positions at EPFL in Switzerland
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collaboration with experimental labs Profile Common requirements: PhD (completed or close to completion) in computer science, applied mathematics, computational neuroscience, robotics, physics or a closely
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than 18,500 people, including over 14,000 students and 4,000 researchers from more than 120 different countries. Postdoc position in 3D Computer Vision, remote sensing ... The Laboratory of Visual Intelligence
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than 18,500 people, including over 14,000 students and 4,000 researchers from more than 120 different countries. Postdoctoral Position in Computational Genomics, Machine Learning & Single-Cell Biology Mission
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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 sophisticated
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, computer science, applied mathematics, statistics, physics, engineering, or a closely related field, completed or near completion. Demonstrated expertise in generative AI, such as diffusion models, flow matching
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) synchrotron located at the Paul Scherrer Institute (PSI). You will be a core member of the SNSF Starting Grant project NEXUS-3D, working at the intersection of applied physics, high-performance computing, and
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of the upgraded Swiss Light Source synchrotron, as well as other facilities around the world. Profile We are looking for a person with: PhD in physics, engineering, computer science, or a related field. Strong
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) synchrotron located at the Paul Scherrer Institute (PSI). You will be a core member of the SNSF Starting Grant project NEXUS-3D, working at the intersection of applied physics, high-performance computing, and
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characterization and process-evaluation methods for end-of-life PV modules, assessing recovery yield, purity, energy consumption, environmental impact, scalability and economic relevance. You will plan and conduct
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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 formal verification with Lean You have