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The current era of artificial intelligence is predominantly driven by advances in computational power and infrastructure. As models scale to unprecedented sizes, their capabilities are enhanced
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backgrounds including biology, medicine, psychology, biochemistry, physics, engineering, computer science, and economics investigate fundamental questions about how the brain functions in health and disease
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100%, Zurich, fixed-term A World-Class Research Environment at the Intersection of Neuroscience and Technology The Neural Control of Movement Lab led by Prof. Dr. Nicole Wenderoth and Brain-Body
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80%-100%, Zurich, fixed-term The Department of Management, Technology, and Economics (D-MTEC) at ETH Zurich is looking for an Recruitment & Admissions Manager (80% - 100%) for a 1-year contract
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-scale geospatial and Earth system datasets, within the NCCR CLIM+ program. The role bridges climate science and AI, developing novel methods for climate data analysis, downscaling, and synthesis using
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: Must hold a master’s degree in computer science, data science, or a closely related field Have strong analytical and problem-solving skills Are able to work independently and take ownership of technical
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100%, Locarno, fixed-term Recent advances in AI-based weather prediction have demonstrated remarkable skill and computational efficiency. However, most current machine-learning weather prediction
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close collaboration with courts and partners across Switzerland. We are looking for Research Assistants (Law, Computer Science, or related fields). Job description We are looking for highly motivated
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and professionals across emerging areas like machine learning, cyber security, climate risk, distributed ledger technology, and quantum computing and translates that expertise into integrative research
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interest in data-intensive systems. You bring a solid foundation in software or data engineering, typically developed through a Master’s degree or higher (e.g. PhD) in Computer Science or a related field, or