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Field
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Summary: The Postdoctoral Fellow in the Department of Cell Biology and Physiology, will conduct research investigating the neural mechanisms driving autonomic, cardiovascular, and respiratory dysfunction in
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to the development of new concepts, methods, and scalable systems for networked digital twins that support autonomous decision infrastructure for adaptive action with human oversight. This project is part of
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collaboration with the principal investigator, devote their time to providing leadership in research on NIH-funded studies focused on the early detection of autism and autonomic dysfunction in high-risk infants
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for networked digital twins that support autonomous decision infrastructure for adaptive action with human oversight. This project is part of an ambitious research program to advance how digital twins, agentic AI
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competitors/frameworks (Mojo and JAX) for extreme‑scale heterogeneous systems. The selected researcher will explore how autonomous AI agents and LLM‑driven code generation can co‑evolve with next‑generation
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changeYears of Research Experience1 - 4 Additional Information Eligibility criteria We are looking for an enthusiastic, motivated, and autonomous researcher with: A PhD in glaciology, geochemistry, physics
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research autonomously at a post-doctoral level Experience and/or willingness to conduct interdisciplinary research The ability to work as part of a scholarly team The linguistic skills to work in a
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Internet, Earth Observation, and Autonomous Transportation. As far as technical enablers are concerned, we leverage expertise on advanced technologies including semantic/task-oriented data processing, signal
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20 Mar 2026 Job Information Organisation/Company Warsaw University of Technology Research Field Computer science » 3 D modelling Computer science » Autonomic computing Computer science » Computer
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institution devoted to excellence in research in numerous disciplines and designated to the role of keeping the Autonomous Province of Trento at the forefront of European and international research. Each