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at ETH Zurich and associated with the ETH AI Center. We are an interdisciplinary group at the intersection of chemistry and computer science. Our mission is to accelerate chemical discovery using digital
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10%-30%, Zurich, fixed-term The chair of Forest Resources Management (FORM) is seeking a motivated student to assist in the development of Deep Learning approaches for tree species identification. This project focuses on mapping individual trees and quantifying their species, which are critical...
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, electrical engineering and computer science to design highly efficient and sensitive imaging and inference approaches to help guide diagnosis and treatment in cardiovascular patients. Project background Our
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Emulators of Stochastic computational models"), funded by the Swiss National Science Foundation (SNSF). The project aims to significantly advance the state-of-the-art in uncertainty quantification (UQ) by
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, and/or agency, and/or comparable experience in space-related industry Management experience in a complex and larger project or program, e.g. as PI/Co-PI, project manager Significant personal experience
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members of the Plant Ecology Group contribute to teaching and mentoring Bachelors and Masters students. Please see this website for more information on the doctoral program in the Department
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The Professorship of International Relations and Data Science is currently seeking a postdoctoral researcher for a two-year position (100%). The position is based at ETH Zurich and is supervised by Prof. Livia Schubiger. The candidate will work with the IRDS group on projects that leverage NLP,...
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among research groups Establishing mechanisms to gather input, needs, and feedback from community members Managing the ETH Zurich side of the Joint Doctoral Program on Learning Sciences (JDPLS ), and
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20%-30%, Zurich, fixed-term Our research team at KOF, ETH Zurich is seeking a student assistant to contribute to the project "Computing Resilience Indicators for Pharmaceutical Supply Chains
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Emulators of Stochastic computational models"), funded by the Swiss National Science Foundation (SNSF). The project aims to significantly advance the state-of-the-art in uncertainty quantification (UQ) by