136 computer-programmer-"https:"-"UCL" "https:" "https:" "https:" "https:" "https:" "https:" "Univ" uni jobs at ETH Zurich in Switzerland
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. Neuromorphic computing and ML deployment on digital and neuromorphic processors TinyML and EdgeAI and ultra-low-power inference for resource-constrained systems Techniques such as quantization, pruning
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apply bioinformatics and statistical genomics approaches to characterize trait-associated sequence variation. We offer two PhD positions at the interface of computational and statistical genomics, and
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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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activities (incl. Future Food Initiative, Smart Sustainable Farming Program, Thematic Spotlights etc.). Co-development of new inter- and transdisciplinary research programs and activities either based
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modeling and teaching duties. Position details: Start date: February 1st, 2026, or by agreement Fully funded PhD position (approximately 4 years). Final admission to the doctoral programme follows a
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100%, Zurich, fixed-term Human–Computer Interaction in Architecture and Digital Fabrication This fully funded, full-time PhD position spans four years and is embedded within the interdisciplinary
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, optimized for high-performance computing (HPC) environments Classifying ice crystal habits using Convolutional Neural Networks (CNNs) Providing intuitive graphical interfaces for user interaction and data
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environment. The Postdoctoral Fellowship Program, made possible via our Strategic Partnership with Halter Group AG , funds a two-year postdoc position annually over 5 years. The goal is to advance computational
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80%-100%, Lugano, fixed-term The Swiss National Supercomputing Centre (CSCS) develops and operates a high-performance computing and data research infrastructure that supports world-class science in
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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