219 embedded-system "https:" "https:" "https:" "https:" "UCL" positions at ETH Zurich in Switzerland
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Diversity website to find out how we ensure a fair and open environment that allows everyone to grow and flourish. Sustainability is a core value for us – we are consistently working towards a climate-neutral
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everyone to grow and flourish. Sustainability is a core value for us – we are consistently working towards a climate-neutral future . Curious? So are we. We look forward to receiving your online application
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100%, Zurich, fixed-term The upcoming Molecular Engineering Thermodynamics (MET) Group at ETH Zürich is looking for a doctoral student to develop and improve computational tools for the molecular
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of the surface of lipid nanoparticles for various applications is envisioned. Research Topics within Our Group: MRI and NIR probe for in vivo and in vitro imaging of diseases Chemical force spectroscopy and
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of extension.This project is in collaboration with the COSTAction CLEANFOREST. Norway spruce (Picea abies) is a cornerstone of Europe’s forests and forestry sector, facing increasing challenges from climate change
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applications, review processes, evaluation details, results, or reasons for acceptance or rejection. ETH Zurich is one of the world’s leading universities specialising in science and technology. We are renowned
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how we ensure a fair and open environment that allows everyone to grow and flourish. Sustainability is a core value for us – we are consistently working towards a climate-neutral future . Curious? So
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The BedrettoLab of ETH Zurich is a unique underground research facility enabling cutting-edge geophysical, geotechnical, and energy-related experiments under realistic subsurface conditions. To
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100%, Zurich, fixed-term The Computational Design Lab is an interdisciplinary research group at ETH Zurich, led by Prof. Dr. Bernd Bickel . We develop novel algorithms and next-generation
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NLP is highly welcome. For computational candidates: experience in large-scale ML training (multi-node setups, distributed training) is a strong advantage. Good computational engineering practices