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learning (RL), such as (but not limited to) Theory of online learning, reinforcement learning, and data-driven control Learning in games, and multi-agent RL RLHF and alignment in LLMs Representation learning
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for additional information, please include your PhD, MSc, and BSc degree details (university, dates, and relevant experience). When applying, please submit the following documents as a single merged PDF named with
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2025. Profile A PhD (or equivalent doctorate) in Business Administration, Management, or a related field (e.g., Psychology, Sociology, Engineering, or Economics). A strong publication record (or
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engineers and corrosion scientists at Empa. The laboratories involved in this project offer a wide range of state of the art equipment. There will also be close collaboration with a large international
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Applicants should have recently earned a PhD in Economics and should show interest in the topics of the group. The preferred candidate has demonstrated her or his potential to conduct high-quality research
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selection process with applications accepted year-round. Eligibility requirements: Candidates should hold a PhD degree in computer science, data science, mathematics, physics, statistics, or electrical
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rooms and large-scale facilities at the Paul Scherrer Institute, and fostering synergies with the Department of Materials (ETH Zurich). We would like to hire a Postdoctoral Researcher in the field
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candidate with a strong background geology/geomorphology, or a related discipline, a strong interest for evolutionary biology, and who is interested in bridging field data, computational modeling, and large
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of fiber optics in the 1970s has revolutionized the telecommunications industry upon the replacement of copper wires and played a major role in the advent of the Information Age - One high bandwidth fiber
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imaging, single cell tracking and quantification, large volume 3D bone marrrow imaging with single molecule sensitivity, and ai-supported computational analysis. Job description We are seeking a highly