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and simulation. Project background Digital twins of living systems are a hard computational problem: nonlinear, high-dimensional models with uncertain parameters that must be fitted to noisy data, and
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project in close collaboration with theory? Are you creative, persevering, independent, and a good team player? You can expect a cutting-edge research project that is very challenging due to the many
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simulation tools and to teaching Profile We are looking for a self-motivated candidate who is enthusiastic about developing data-based mathematical models in developmental biology. The position suits someone
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looking for student research assistants with a background in computer science, data science, or related fields to support interdisciplinary research projects at the intersection of data science, artificial
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funded. The program language is English. Faculty participating in this call (*only available as co-advisor for the one-year exchange): Zurich: Andreas Krause*, April Wang*, Benjamin Grewe, Celestine
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considered. We would like to point out that the pre-selection is carried out by the responsible recruiters and not by artificial intelligence. The call is open until we identify a suitable candidate. We have
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the Department of Health Sciences and Technology, ETH Zurich, is expanding its activities in sports performance research. We are currently offering a fixed-term postdoctoral position in the field of athlete
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application portal. Applications via email or postal services will not be considered. We would like to point out that the pre-selection is carried out by the responsible recruiters and not by artificial
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, resilience to failure, and adaptability to change. The starting date is flexible but an early start is preferred. Job description Infrastructure Development: Work in containerd environments, ensure
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100%, Zurich, fixed-term The Decision Sciences and Analytics group, led by Prof. Tu Ni at ETH Zürich is seeking a doctoral student to study the design and analysis of human-AI systems. This position