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The candidate will be passionate about science, technology, collaboration, and communication. The candidate must have a strong motivation and interest in collaboration with multi-disciplinary scientists
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Algorithms, (Byzantine) Fault Tolerance, Peer-to-Peer Networks. Online Algorithms: Partially-Observable Markov Decision Processes (POMDPs), Cooperative and Competitive Multi-Agent Reinforcement Learning (MARL
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). Ability to work collaboratively and supportively in an international research environment. Willingness to participate in multi-week field campaigns in winter conditions. Workplace Workplace We offer A fully
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spoken). Ability to work collaboratively and supportively in an international research environment. Willingness to participate in multi-week field campaigns in winter conditions. Workplace Workplace We
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environment. Willingness to participate in multi-week field campaigns in winter conditions. Workplace Workplace We offer A fully funded 3-4 year PhD position at ETH Zurich. Opportunity to work on a research
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on Snow and ice parameter estimation using high frequency multi-modal SAR. Job description The research focuses on the retrieval of snow and ice parameters and their dynamics using multimodal Synthetic
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will center around the following tasks: Urban data: Collecting diverse and multi-modal data to create a comprehensive urban dataset. Establishing/extending Urban Building Energy Models (UBEM) using City
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Workplace We offer We are an enthusiastic and collaborative research group with many opportunities for multi-disciplinary cutting-edge research in engineering geology. There are significant opportunities
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This PhD position is contributing to several projects in the field of sustainable chemicals manufacturing. One of them may be the multi-year “NCCR Catalysis ” project funded by the Swiss National Science