201 computer-programmer-"https:"-"Brookhaven-Lab" "https:" "https:" "https:" "Ulster University" uni jobs in Switzerland
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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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datasets The position is limited to two years. Profile University degree (MSc or PhD) in data science, computer science, physics or a related field Experience in training and validating large-scale deep
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years. Profile University degree (MSc or PhD) in data science, computer science, physics or a related field Experience in training and validating large-scale deep-learning models on distributed systems
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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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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
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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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-dimensional biological datasets, developing and maintaining bioinformatics pipelines, and collaborating closely with experimental scientists to translate computational findings into biological insight
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convective heat transfer with the surrounding air. Within our research group at ETH Zurich, we are developing computational workflows for predicting temperature fields in machine tools using computational
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policy, political economy, economics, sociology, computational social sciences, or a related field Strong knowledge of advanced quantitative methods is essential (e.g., econometrics, causal inference