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for energy and industrial applications. You will work experimentally with catalyst development, reactor testing, and process optimization with ASPEN. The research includes operating high-temperature systems
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prediction metrics to optimize patient care. Identifying and addressing care gaps: Evaluating disparities in clinical management, assessing their impact and evaluating targeted interventions to improve them
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by, computational chemistry to optimize and predict process parameters. The Department of Engineering and Chemical Sciences, with approximately 60 employees, is a part of the Faculty of Health, Science
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in-situ/operando battery capabilities. You will explore the electrochemical response of operando cells compared to typical lab-based cells and optimize electrode geometires.This project is part of
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capabilities. You will explore the electrochemical response of operando cells compared to typical lab-based cells and optimize electrode geometires.This project is part of Batteries Sweden (BASE) and with
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production of cellulose fiber, both complementary to and supported by, computational chemistry to optimize and predict process parameters. The Department of Engineering and Chemical Sciences, with
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concept will showcase capabilities of an energy island to not only optimally supply its own energy demands and support the grids in normal conditions but also to securely and optimally supply its critical
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, the focus will be on implementing inverse design, optimization, and/or machine learning for designing and optimizing devices in integrated photonics, which will be subsequently fabricated and tested by our
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validate decision-support tools for energy-aware planning, predictive maintenance, and resource optimization. -Develop and test multi-agent and distributed control systems using technologies such as IEC
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while optimizing sequence properties. An emerging frontier focuses on designing proteins that act as templates for inorganic interfaces, forming symmetric oligomers that control inorganic material