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on the track of Cyber-Human Physical Systems seeks researchers to advance Systems Science and Engineering by modeling human behavior in complex dynamic networks addressing global challenges. Emphasizing Cyber
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: 10.1101/2025.09.08.674950), and AI/machine learning. We work closely with clinicians to translate our findings into clinical practice, focusing on genomically complex sarcomas and haematological
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world-leading fundamental and applied research within communication, networks, control systems, AI, sound, cyber security, and robotics. The department plays an active role in transferring inventions and
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. Opportunities to Contribute Develops dynamic river‑lake network models to assess geochemical and ecological changes—including carbon cycling and elemental fluxes—resulting from enhanced rock weathering. Writes
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working to tackle one of the major global challenges of this century: ensuring that our communities–increasingly urban, complex, and interconnected–cope with and even thrive in the face of natural perils
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motivated Postdoctoral Associates to join our research team in the field of AI for Precision Medicine and Therapeutics. They will work on developing Artificial Intelligence (AI) and network data science
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arithmetic complexity. Topics may include Arakelov geometry, birational and Calabi–Yau geometry, analytic torsion, and related height-theoretic or intersection-theoretic ideas. More details on the project
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The University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 5 days ago
regions to local communities and corporations – we turn complex, large-scale, and often messy datasets into actionable insights that shape policy, drive accountability, and create real-world impact. We
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: Institut de Biologie Valrose (iBV), Nice, France -Start date: 02/06/2026 -Contract: 2 years If you are enthusiastic about dissecting complex protein interaction networks and eager to develop cutting-edge
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interaction, adapt to new tasks, and generalize across environments. Dexterous Manipulation – Advancing robotic grasping, in-hand manipulation, and adaptable object handling in complex real-world scenarios