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and/or R knowledge will be given priority. This individual will act as the lead team member for a specific administrative data set and will assist other lead members on their assigned administrative
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applied physics other related disciplines. Demonstrated knowledge in at least one of the following areas: porous media flow computational fluid dynamics (CFD) pore-network modelling lattice Boltzmann method
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reinforcement learning, LLMs can iteratively improve by learning from feedback. If successful, this approach could present a ground-breaking solution for system software development. The candidate in this role
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-traditional career paths, those who have taken time out for reasons including family or caring responsibilities. We also welcome international applicants including those whom have been displaced due to war
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career paths, those who have taken time out for reasons including family or caring responsibilities. We also welcome international applicants including those whom have been displaced due to war. Trinity
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understood, and the identification of targets of early intervention presents a great challenge. To address this critical knowledge gap, PREVENT, a large-scale population study carried out by Trinity College
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Validation, Statistics, and Symbolic Reasoning. The position includes collaboration with our partners not only in the UK but also in the European continent, so there will be travel to other European countries
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to have extensive knowledge in ecology and evolutionary biology, as well as an interest to relate this knowledge to sustainable plant protection. Furthermore, the selected candidate should be capable
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and Aspergillus are the leading causes of IFIs in Europe. Late diagnosis, limited treatment options, and antifungal resistance are main reasons for the often fatal outcome of these infections. Our
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employees to advance science for society. Join us in breaking new ground and writing success stories - your own and those of our university. Support us as of now in one of two positions in part-time (50 %) as