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Nanophotonics and Nanopatterning to join the NRF Competitive Research Programme project, “Extreme UV Nanophotonics: Quantum Control and Meta-Optical Design of Extreme Ultraviolet Light Sources.” In this role, you
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reinforcement learning agents for game-based environments in which task structure and controllability change. Relevant approaches include meta-reinforcement learning, continual learning, model-based reinforcement
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appropriate controls. Experience with one or more relevant approaches, such as field sampling and experimentation, cultivation, stable-isotope or process measurements, metagenomics or meta transcriptomics
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2 Oct 2026 Job Information Organisation/Company University of Twente (UT) Research Field Engineering » Control engineering Engineering » Mechanical engineering Researcher Profile Recognised
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applications, equivalent and efficient physics-based AI meta models, and corresponding model predictive control schemes will be validated based on the data collected. The development of the high fidelity models
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%) · Perform robust data quality control and validation (10%) · Perform other duties (such as meta-analyses of existing GEO deposited and other data sets) as assigned by faculty collaborators (10%) Work
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environment Qualifications The successful candidate will have some of the following qualifications: Master or PhD in physics, photonics engineering, or related. Proven coding experience in scientific
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technology management, or smart grids. Experience in development of mathematical meta-models, control strategies, optimization methods and algorithms, data analysis and machine learning techniques, techno
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Materials science and technology are our passion. With our cutting-edge research, Empa's around 1,100 employees make essential contributions to the well-being of society for a future worth living
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. Establish calibrate, curate and analyze large datasets using reproducible workflows, clear meta data, version control and well-kept electronic documentation. We require appropriate work ethics and