145 computer-programmer-"https:"-"CEA-Saclay" "https:" "https:" "https:" "UNIV" positions at ETH Zurich
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of the student's PhD thesis. The PhD program at D-USYS (Department of Environmental Systems Science), ETH Zürich typically lasts three to four years on average. PhD students usually have to conduct research, study
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The Institute of Molecular Systems Biology at ETH Zurich is inviting applications for a Full Stack Web Developer for Life Science Research in the laboratory of Prof. Pedro Beltrao . The Beltrao
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-phonon coupling elements. With these, dedicated scattering rates can be computed and then used in quantum transport simulations. Down the line, we aim to pre-train a common GNN backbone model capable
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that are transferable to a broader landscape of opportunities. You will have the opportunity to visit industry and other academic institutions within the consortium. After completing the program, you will have a thorough
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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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, including space agencies, you will ensure projects are completed on time, within scope and budget, and consistent with ETH rules and policies. As part of your role, you will: Plan and manage complex space
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the Science in Perspective Program . Contribute to interdisciplinary research and teaching initiatives in partnership with computer science faculty, researchers, and students at ETH Zürich. Engage on topics
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novel biosensors, gene switches, genetic closed-loop circuits, and chemical structures that interface with and actuate cellular activities, we design programmable cellular implants and devices
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platforms such as novel biosensors, gene switches, genetic closed-loop circuits, and chemical structures that interface with and actuate cellular activities, we design programmable cellular implants and
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operations that are yet to be fully understood. In this context, it is evident that the operation, control, and planning of power systems will soon be pushed to their limits. Therefore, new computational