344 computer-programmer-"https:"-"IDAEA-CSIC" "https:" "https:" "https:" "UNIV" "UNIV" positions 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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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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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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the Study of Religion: 12 months Faculty of Law: 12 months Faculty of Business, Economics and Informatics: 12 months Faculty of Medicine: 12 months Vetsuisse Faculty: 12 months Faculty of Arts and
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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