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in engaging and collaborating with experimental colleagues TU Delft (Delft University of Technology) Working at TU Delft means contributing to solutions that really make a difference. For over 180
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projects will build on our recent discoveries of novel classes of antimalarial and antibabesial compounds with potent activity against Plasmodium and Babesia parasites. Trainees will have the opportunity
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compounds that enhance the activity of existing antifungal agents, reverse antifungal resistance, and reduce drug-associated toxicity. These studies build on our recent publications describing pantothenate
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, neural signals, behavioral, cognitive, genetic, and clinical data to model brain structure, function, and dynamics across individuals and populations. Key Responsibilities The postdoctoral fellow will
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characterisation, and computational modelling to enable structure-driven materials discovery, targeting systems with unconventional atomic arrangements and emergent properties, and is inspired by the recent
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of functional inorganic materials, through integrated computational and experimental approaches. The project aims to move beyond traditional incremental materials development toward structure-driven discovery
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experimental strategies, and contribute to the preparation of manuscripts, abstracts, presentations, and other scholarly products. Communicate research findings and scientific ideas clearly and constructively
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new results on the limits of coding against synchronisation errors and to develop new constructions of synchronisation error-correcting codes with efficient encoding and decoding algorithms. Place of
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acoustic sensing (DAS), to address problems in the solid Earth. Our research uses ultra-dense seismic observations to investigate outstanding questions in earthquake dynamics and multi-scale Earth structure
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York University Abu Dhabi, seeks to recruit a highly motivated post-doctoral candidate in the areas of Artificial Intelligence (AI) for materials science, with an emphasis on structure-property