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! We are inviting applications for a 4-year full-time PhD position as part of the SCOPE project—Shelf-life Control, Optimized Pricing, and Excess Redistribution—a collaboration between the Operations
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Vacancies PhD position in AI-based Grid Capacity Optimization using Battery Energy Storage Systems (BESS) Key takeaways The BATT-AI project aims to develop advanced methodologies based on artificial
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friction—to develop novel coupling designs optimized for increased repeatability, thermal stability, and load-bearing capacity. These designs are critical in fields such as: Optical component alignment High
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Intelligence with the topic of modular control system design using assume-guarantee contracts. The candidate would become a member of the Systems, Control, and Optimization group of the (Applied) Mathematics
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Systems, Control, and Optimization group of the (Applied) Mathematics Department and will work under the supervision of Prof. Bart Besselink. The successful candidate should Have a keen interest in pursuing
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of synthesized organic molecules, using NMR, MS and SC-XRD; scale-up of the synthesis of pyrrolizidine core; synthesis of analytical standards; rationale-based synthetic route design and reactions optimization
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, business school scientists, system modeling and optimization researchers, computer scientists, legal experts and social scientists working on energy topics. Description of the PhD project The project
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Your job Do you also feel that assessment systems can be more optimally used to support and empower student learning? Do you like to innovate education, work with teachers and make a difference for
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Flyway. The project focuses on creating and connecting optimal breeding and non-breeding areas for species like the Black-tailed Godwit. The project implements meadow bird-friendly measures in project
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the East Atlantic Flyway. The project focuses on creating and connecting optimal breeding and non-breeding areas for species like the Black-tailed Godwit. The project implements meadow bird-friendly measures