458 embedded-system "https:" "https:" "https:" "https:" "UCL" positions in Switzerland
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. Empa is a research institution of the ETH Domain. The Biointerfaces Laboratory is offering a PhD position focused on development of engineered antimicrobial hydrogels. This project aims to tackle
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. Empa is a research institution of the ETH Domain. The Laboratory for Building Energy Materials and Components develops advanced and/or low eco-impact, porous materials for insulation, sorption, and
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Systems.”Funded through an ETH Zurich Career Seed Award, this project aims to develop scientific machine learning frameworks that integrate physics-based modeling with neural network architectures. The goal
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50%-60%, Zurich, fixed-term The laboratory of Neuroepigenetics is a biology research group at the University Zürich (UZH) and ETH Zürich. It conducts fundamental research that studies how the brain
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We are looking for a PhD student with joint appointment in ETH’s (i) Food Systems Economics and Policy group (FSEP ), led by Prof. Eva-Marie Meemken, and (ii) Global Health Engineering group (GHE
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allows for independence and responsibility, and we provide as much flexibility as possible on working hours and days. The job mainly involves: Equipment cleaning, organisation and preparation Potting and
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Your position The goal of the project is to understand the cause of multiple sclerosis, focusing on the interactions between autoreactive B cells, the lymphotropic virus EBV, and the cellular
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100%, Basel, fixed-term The Computational Biology (CoBi) group, led by Prof. Dagmar Iber, develops data-driven, mechanistic models of biological systems using advanced imaging and computational
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possible longer term perspective at ETH. We specialise in the study of the interiors, atmospheres and evolution of terrestrial planetary bodies, both in our Solar System and beyond. The institute runs a wide
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. Empa is a research institution of the ETH Domain. Our group of Biosensing and Functional Surfaces focuses on the studying the role of protein aggregation in dementia progression using nanoscale analytics