32 web-development Postdoctoral research jobs at Chalmers University of Technology in Sweden
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Are you passionate about artificial intelligence and its potential to transform healthcare? Join us as a postdoctoral researcher at Chalmers University of Technology , where you will develop
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this position, you will develop agentic AI solutions that can autonomously configure and deploy 6G and edge-cloud functions, using digital twins and advanced validation techniques. You will work closely with
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, promises the development of a new class of devices and systems with a performance that surpasses limits that today are considered fundamental. In this postdoc project, the focus will be on implementing
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systems against network-based threats. The research will explore network attack surfaces in distributed AI, assess their impact on system reliability and trustworthiness, and develop cross-layer defenses
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funded by a EU programme Reference Number 304--1-14162 Is the Job related to staff position within a Research Infrastructure? No Offer Description Join a research team developing state-of-the-art open
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their impact on system reliability and trustworthiness, and develop cross-layer defenses that ensure both scalable efficiency and robust security in next-generation AI infrastructures. About us The department of
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beyond the Standard Model of particle physics to the interpretation of cosmological and astrophysical data on the origin, composition, and evolution of the universe. At present, our studies concentrate
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revolution in the field of legged robotics and their successful custom deployment in various applications. Project overview The aim of this project is to develop a software framework for AI based Holistic Co
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development, but you may also get the opportunity to be involved in the supervision of Ph.D. and M.Sc. students. Qualifications The applicant should have*, or expect to soon obtain, a Ph.D. degree in physics
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on-wafer characterization of high-frequency transistor devices, including bias-dependent S-parameters, pulsed I/V, and load-pull measurements Develop empirical device models that capture static, dynamic and