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to join our team working on next-generation speech enhancement technologies. The project explores innovative approaches that move beyond traditional reference-based methods, leveraging optimal transport and
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Job Description Do you want to contribute to a new research field where oxide/metal hybrid devices are geometrically optimized to yield extraordinary performance, including the highest
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Foundation’s TEXT Center. Position Summary The successful candidate will work on alignment, preference optimization, and evaluation of LLMs for mid- to low-resource languages. The main goal is to develop
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, have been optimized for fossil fuels for more than 140 years but the new fuels have properties that can enable a more efficient operation. Advanced combustion processes like HCCI, SACI and PPC will be
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optimizing heat transfer, cost-effectiveness, and integration with façade panels. We aim to create scalable, sustainable building solutions. The project is integrated in an international project financed by
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technology, positioning your career for long-term success and global scientific impact. Your primary role will be to pioneer and optimize advanced electron-beam lithography techniques to demonstrate reliable
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-enhanced exact methods, particularly focusing on Column Generation (and Branch-and-Price), to improve scalability and convergence in solving complex optimization problems. In collaboration with your
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challenges. This PhD project aims to advance the efficient, controllable, and optimized use of renewable energy by integration of advanced TES technologies (latent heat and thermochemical storage) in
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reversible CO2 heat pumps. Development and demonstration of an energy optimizing algorithm for reversible CO2 heat pumps (with and without ejector): (i) Use of the previously implemented simulation model
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, modelling, optimization and validation, and focus on: Develop thermally integrated storage and conversion systems, including Carnot batteries and/or high-temperature heat pumps based on power cycles. Design