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Field
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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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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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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
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machines Machine Culture Ongoing work on social reinforcement learning and evolutionary optimization of social strategies Our aim is to advance the scientific knowledge of human-AI systems by understanding
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desirable. Experience with AI, machine learning, optimization, spatial analysis, scenario modeling, or decision-support methods is strongly preferred, especially when applied in transparent, interpretable
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published in leading journals including Nature Mental Health, Molecular Psychiatry, and PNAS. (https://www.ncbi.nlm.nih.gov/myncbi/paola.magioncalda.1/bibliography/public/ ) The successful candidate will play
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at Cambridge University and in Germany and the US, we will work from the scale of the single gene to field evaluation to define a framework for rational optimization of plant-mycorrhizal symbioses for more