225 computer-science-intern-"https:"-"https:"-"L2CM" positions at ETH Zurich in Switzerland
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environment spanning real-time graphics, large language models, and affective computing Regular 1-on-1 mentoring and weekly team meetings Collaborative, international team at ETH Zurich's Computer Graphics
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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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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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of methods to program material stiffness in-situ with light. Goals: high stiffness contrast (rigid-soft), fast transition (<1s), and small form factor (< mm scale) Characterization and developing theoretical
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climate change at one of the leading international universities for natural sciences and technology chevron_right Working, teaching and research at ETH Zurich We value diversity and sustainability In line
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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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cognitive tasks (Python/MATLAB) Apply computational models of behavior and cognition Analyze high-dimensional datasets (behavioral, physiological, neuroimaging) Publish in leading international journals and
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Contribute to supervision of students and interns where appropriate Profile PhD in climate science, atmospheric science, computer science, data science, physics, applied mathematics, remote sensing, or a
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) An interdisciplinary, international, and diverse team of talents and a stimulating, vibrant, collaborative group Strong connections with academic, industrial, and clinical partners in materials science, robotics, and
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, international, and diverse team of talents and a stimulating, vibrant, collaborative group Strong connections with academic, industrial, and clinical partners in materials science, robotics, and healthcare