210 computer-programmer-"https:"-"FEMTO-ST"-"https:"-"https:"-"https:"-"https:"-"BioData" positions in Switzerland
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- ETH Zurich
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- Paul Scherrer Institut Villigen
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they are setting up or consolidating their own research team or programme. The MSCA (Marie Skłodowska-Curie Actions) enable cross-border mobility and thus support researchers at all stages of their careers. Swiss
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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
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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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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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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
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The UZH Global Funding Scheme supports faculties, departments, and professional service units in developing and implementing joint initiatives with international partners that advance the objectives of the UZH Global Strategy 2030. The scheme harnesses the global networking potential of the UZH...
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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