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Computer Science, Data Science, Artificial Intelligence, Machine Learning, or a related field. Exceptional BSc candidates with strong engineering experience will also be considered. Experience in AI and neural
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Data Science Center (SDSC) is a national research infrastructure in data science, machine learning and artificial intelligence (AI), founded by EPFL and ETH Zurich. Its mission - to enable data-driven
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: Install and configure software, troubleshoot application-related issues and manage IT software updates for end-user machines. Network access: Manage client access to the EPFL network and resolve
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and associated environmental impacts. Contribute to short-term (2026 to 2030) and long-term (2030 to 2050) verticalisation forecasting models based on machine learning, and to their validation against
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(or similar): Coherent diffractive imaging, especially ptychography. Sparse sensing, optimization, or Bayesian experimental design. Machine learning for imaging. Synchrotron experiment experience. Semiconductor
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. Sparse sensing, optimization, or Bayesian experimental design. Machine learning for imaging. Synchrotron experiment experience. Semiconductor devices or metrology. We offer We offer a fully funded
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(or similar): Coherent diffractive imaging, especially ptychography. Sparse sensing, optimization, or Bayesian experimental design. Machine learning for imaging. Synchrotron experiment experience. Semiconductor
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programming (Python, GIT, etc.) strongly preferred Basic cleanroom experience preferable Excellent technical problem-solving skills Open-mindedness, communication skills and critical thinking Willingness
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teaching in key computing areas, including High-Performance Computing (HPC), Artificial Intelligence and Machine Learning (AI/ML), scientific computing, trusted research environments, storage, and data
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Understanding human motivation requires methods that go beyond questionnaires and simplified computer-based tasks. This project aims to develop more naturalistic, yet highly controlled, behavioral assays in which