184 computer-programmer-"https:"-"Inserm" "https:" "https:" "https:" "https:" "Dr" "UCL" "UCL" positions at ETH Zurich
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for the renewable energy sector via the M2A European Training Network (ETN), funded by the European Commission’s Horizon 2020 Marie Skłodowska-Curie programme. Project background M2A puts forward a robust methodology
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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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industry and other academic institutions within the consortium. After completing the program, you will have a thorough understanding of the process from research via innovation to industry implementation and
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implementing new features, maintaining the code, creating tutorials, and documentation. Profile You are a developer with a BSc or MSc in Computer Science or related fields. You have proven expertise in software
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100%, Basel, fixed-term The highly competitive the Bio-Engineering Systems for Therapeutics (BEST) postdoc programme, part of the Next-gen Bioengineers initiative, is operated jointly by
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collaboration with internationally leading groups in cell, organoid and computational biology. Profile PhD degree or equivalent in the fields of cell biology, mechanobiology, bionanotechnology, systems biology
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be directed to Dr. Cara Rachele at doctoral-program@gta.arch.ethz.ch (no applications). For general information on working and studying at ETH, please refer to: Welcome Center . About ETH Zürich ETH
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, you will publish your results in peer-reviewed journals and present them at international conferences Profile You meet the requirements for a doctoral program at ETH Zurich and have an excellent
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transfer, developing and employing laboratory experiments, computer simulations, and field analyses. Our aim is to gain fundamental insights and to develop sustainable technologies that address societal
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and waste-free chemical industry for a sustainable society. Jointly led by ETH Zurich and EPFL since 2020, the research program is funded by the Swiss National Science Foundation (SNSF) and currently