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the ETH workplace, and ETH Zurich has developed a set of six core competencies that we expect from all employees. These include acting responsibly, nurturing well-being, driving innovation, living
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power electronic systems, we develop advanced multi-physics models/digital twins/virtual prototypes at the component and system level. For a new research project on EMI/input filters of power electronic
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to establish an independent research program within our new Computational Biology Core at the Institute of Human Biology (IHB). This is a unique opportunity to launch your career as a principal investigator
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Metagenomics, meta-transcriptomics and metabolomics data analysis and familiarity with gut microbiome research. Machine learning for genomics (representation learning, generative models, causal inference). Multi
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to take full advantage of multi-core processors, GPUs/accelerators and memory hierarchies (cache, memory, storage) for data throughput, optimize task scheduling to improve load balancing and resource
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the University of Applied Sciences of Eastern Switzerland (OST), ensuring strong interdisciplinary exposure. We aim for quantitative indicators building upon Life Cycle Assesssment and Multi Regional
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Competitive salary for postdoc positions Excellent working conditions A chance to work in a stimulating environment as part of a multi-cultural research team Exposure to both academia and the industry world
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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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Portfolio Projects. We are an in-foundation startup, building upon a multi-year research and development program focused on a novel class of surgical materials. With a strong foundation in translational
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, (Byzantine) Fault Tolerance, Peer-to-Peer Networks. Online Algorithms: Partially-Observable Markov Decision Processes (POMDPs), Cooperative and Competitive Multi-Agent Reinforcement Learning (MARL), Multi