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Field
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mechanisms within potential CO2 storage complexes. Consequently, optimal deployment of CCUS solutions relies upon a robust understanding of fault network architecture in the subsurface. This project will
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; Knowledge of TDOA-based localization, multilateration, or positioning systems; Experience with Kalman filters, nonlinear optimization methods, or target tracking algorithms; Knowledge of distributed
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and apply advanced methods in automated treatment planning, artificial intelligence, adaptive treatment delivery, and clinical workflow optimization to improve both the quality and efficiency
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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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on optimization (e.g., optimization modelling and numerical optimization), game theory, AI/ML (A focus on explainable AI e.g., will be valuable) Must have documented Background/Knowledge on Energy/Systems/Energy
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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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. 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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coupling systems.; • Develop technical skills in electromagnetic modeling and simulation tools, as well as in energy efficiency optimization algorithms.; • Consolidate the ability to write scientifically and
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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