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strong willingness to learn A solid foundation in experimental research, data analysis, and scientific methods Interest in machine learning and data-driven approaches to materials discovery Strong interest
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willingness to learn A solid foundation in experimental research, data analysis, and scientific methods Interest in machine learning and data-driven approaches to materials discovery Strong interest in hands
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or similar tools) Initial experience with machine learning, clustering methods or generative AI (preferred but not required) Willingness and ability to collaborate with researchers from different backgrounds
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with machine learning, clustering methods or generative AI (preferred but not required) Willingness and ability to collaborate with researchers from different backgrounds, stakeholders and the general
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velocity changes at selected locations with the introduction of unsupervised machine learning and study the interaction of mass balance changes (crustal stress changes) and geohazards such as rain-induced
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100%, Zurich, fixed-term The Computational Mechanics Group in the Department of Mechanical and Process Engineering of ETH Zurich is seeking one doctoral student. The position is associated to a
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position within a Research Infrastructure? No Offer Description PhD Position in Polymer Synthesis TLC group at ETH is looking for dedicated and hard-working synthetic chemists who would like to research
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and original surveys with causal inference and machine learning methods to bring new evidence to bear on the urgent problems policymakers and practitioners face. We collaborate with a nonprofit
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energy storage function. The targeted chemistry spans organic molecules, transition metal complexes and carbon nanomaterials. Job description The foci of the PhD projects are to: Design and execute new
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100%, Zurich, fixed-term The research group of Prof. Simonov at ETH Zurich is seeking a motivated PhD candidate interested in developing computational approaches for understanding disorder in