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research projects with strong industry relevance, focusing on product development, process optimization and food characterization. Key Responsibilities Lead bench formulation of mushroom‑based and plant
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injury, and repair in experimental models of multiple sclerosis. Designing, implementing, troubleshooting, and optimizing experimental approaches. Developing and executing studies utilizing transgenic
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the Gravimetric Atom-Interferometer (GAIN) - prepare, optimize and use GAIN for comparison measurement campaigns - improve GAIN by implementing new technologies which also enable new measurement modes and
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industry to employ quantum technologies to address challenges in, e.g., environmental protection and the optimal use of natural resources. Specifically, this project will use atom Interferometry
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. Advanced machine learning, reinforcement learning, and agent-based optimization techniques will be developed to reduce voltage deviations, cut active power curtailment, and improve system adaptability under
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Optimization and the Institute for Quantum Computing, both at the University of Waterloo in Ontario, Canada. You will also work closely with Canada’s National Research Council. The Institute for Quantum
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Portuguese version: https://repositorio.inesctec.pt/editais/pt/AE2026-0247.pdf CALL FOR GRANT APPLICATIONS (AE2026-0247) INESC TEC is now accepting grant applications to award 1 Research Grant (BI) within
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programme Reference Number AE2026-0239 Is the Job related to staff position within a Research Infrastructure? No Offer Description Portuguese version: https://repositorio.inesctec.pt/editais/pt/AE2026-0239
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programme Reference Number AE2026-0232 Is the Job related to staff position within a Research Infrastructure? No Offer Description Portuguese version: https://repositorio.inesctec.pt/editais/pt/AE2026-0232
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2026, we will start a 3-year NSF-Research Council of Finland collaborative project “FORMULA3: Framework for Optimal Resource Management Using Generalizable AI in FR3 Dynamic Programmable Wireless