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Field
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with mainstream industrial software/systems (e.g., DCS, MES, APC). In-depth research in areas such as Reinforcement Learning, Large Language Models, Digital Twins, Predictive Maintenance. Overseas
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interactions. This involves (i) developing predictive machine learning models that forecast user actions and remote system responses across audio, video and haptic modalities, and (ii) jointly orchestrating
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predictive models in constrained environments. Experience with chemical processing, especially of radioisotopes and/or nuclear materials. Ability to work within a multi-disciplinary team environment
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and optimization, including model predictive control and reinforcement learning. The aim is digital-twin-based decision support for electrified groundwork construction. The position is placed
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cookie and refresh page to watch video, or click here to open video) About the position This PhD project is connected to FME NorthWind (https://www.northwindresearch.no/ ), a Norwegian national research
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committed to areas relating to the health of vulnerable populations, the One Health and global health approach, and the development of diagnostics, prediction strategies and innovative therapies. As part of
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at the University of Utah (https://www.boschlab.com/) invites applications for a computational post-doctoral position to support projects related to biomolecular interaction prediction using AI tools. The Bosch Lab
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page to watch video, or click here to open video) About the position The position is part of the research project “Prediction of genetic values and adaptive potential in the wild (GPWILD)” (https
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Nantes, Nantes-Saint-Nazaire School of Fine Arts, Nantes School of Architecture (ENSA Nantes). Nantes University proposes a sustainable and open university model that aims to build a more fair and
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knowledge for a better world. You will find more information about working at NTNU and the application process here. About the position This PhD project is connected to FME NorthWind (https