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The Max Planck Society The Max Planck Society (MPS) is a world-leading scientific research organization, with 18 Nobel Prizes awarded to its scientists since 1948. Its 83 Max Planck Institutes
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The Max Planck ETH Center for Learning Systems (CLS) addresses cross-disciplinary research questions in the design and analysis of natural and man-made learning systems. The excellent engineering
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Systems (S3D) department within the School of Computer Science explores the vital intersection of the confluence of software, systems and society to understand how computational biology might better serve
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collaborative culture, NREL stands out in the research community for its commitment to an affordable and secure energy future. Spanning foundational science to applied systems engineering and analysis, we focus
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degree or equivalent in a related discipline. This project would suit individuals with academic or industrial experience in electronics, electrical engineering, systems engineering, or AI/data analytics
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equitable urban energy systems. Our work combines technology and policy with systems thinking and practical implementation, always grounded in real-world urban challenges. This PhD position is part of
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Supervisors: Dr Angus Pettey and Dr Charles Heron One lesser considered challenge of the shift towards renewable energy is the need for reliable and robust energy storage facilities. A popular
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Max Planck Institute for Intelligent Systems, Tübingen, Tübingen | Bingen am Rhein, Rheinland Pfalz | Germany | 28 days ago
realistic human and animal avatars for use in research, film, virtual reality, biology and medicine. Using unique 3D & 4D capture facilities, machine learning, computer vision and advanced graphics, we
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(UK or worldwide) Research Summary: We are advancing a range of projects focused on chalcogen bonding across synthetic, catalytic, analytical, and computational chemistry. Chalcogen bonding is an
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with a total of 18 PhD stipends. The AI:HealthData Lab is part of the AI:X initiative with two PhD stipends and is a collaboration between the Data Engineering, Science, and Systems (DESS) research group