218 engineering-computation "https:" "https:" "https:" "https:" "Dana Farber Cancer Institute" positions at ETH Zurich
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or Master's level) Interest in geophysics, civil engineering, or data-driven infrastructure monitoring Practical, hands-on attitude for field and laboratory work Programming experience (Python preferred
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The Wyss Zurich Translational Center – Wyss Zurich – is a joint startup accelerator of the University of Zurich and ETH Zurich (Swiss Federal Institute of Technology Zurich). It was established
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100%, Basel, fixed-term The Computational Evolution Group, led by Prof. Dr. Tanja Stadler, in the Department of Biosystems Science and Engineering (D-BSSE) at ETH Zürich works at the interface
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100%, Zurich, fixed-term The Chair of Engineering Geology and the BedrettoLab at ETH Zurich invites applications for a Postdoctoral Researcher position within the European research project UPLIFT
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100%, Zurich, fixed-term Impact Build is a new startup (ETH label pending) that aims to decarbonize construction through robotic manufacturing. Our core technology, Impact Printing, is an innovative
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learned perception can drive action in a closed loop and how we can leverage foundation models for long-term autonomy. To this end, we are looking for a capable lab technician / engineer who supports our
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100%, Zurich, fixed-term The Membrane and Interfacial Science Lab in the Department of Mechanical and Process Engineering (D-MAVT) at ETH Zürich designs materials and processes that enable more
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thinking with a structured, quality-focused approach to data and methods. Ideally, experience in one or more of the following: data engineering, building data-driven apps, computational linguistics, machine
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) or equivalent in civil, mechanical or electrical engineering, geosciences, physics, applied mathematics, computer sciences or related fields, and be at the beginning of their research career. Principal
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datasets The position is limited to two years. Profile University degree (MSc or PhD) in data science, computer science, physics or a related field Experience in training and validating large-scale deep