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Field
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innovative projects that have a major impact on society. Context and contributions of the position: Understanding subsurface fluid flow is crucial for optimizing geothermal systems and mitigating risks such as
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– derivatives, wave functions, linear algebra, differential equations, numerical optimization. Some background in solid-state physics, optics, electrical engineering, chemistry, and/or materials science
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numerical solution properties, allowing efficient solution, with a computation time between a few seconds and a few minutes for a mediumsized problem with a few hundred optimization variables, and easy
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wide range of opportunities. In connection with the cooperation in one of the numerous research and working groups, we also closely cooperate with the German Institute of Human Nutrition, who
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to explore GNSS Reflectometry (GNSS R) as a novel, low cost, low power bistatic remote sensing technique optimized for nanosatellite platforms. GNSS R leverages signals of opportunity from existing
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activity and stochasticity). For example, localized dendritic activation underlies numerous computational functions across hierarchical levels, such as denoising (filtering), increased expressivity (tunable
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drilling, drilling technology, thermomechanical processes, and AI‑driven drilling optimization, as described in the project outline. Develop and apply numerical, analytical, and data‑driven models
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drilling optimization, as described in the project outline. Develop and apply numerical, analytical, and data‑driven models for drillability prediction, real‑time parameter optimization, and integration
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, investigations and optimization of hydrogen production via methane pyrolysis for decarbonization of industrial high-temperature processes with potential for negative carbon emissions. Your tasks Setup
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the frame of the FNR-CORE supported project OPTMONITOR (Optimal Monitoring and Coupled Modeling for Climate-Driven Landslide Risk Detection) at the University of Luxembourg (Faculty of Science, Technology and