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Vacancies PhD position on Stochastic geometric numerical methods Key takeaways Are you passionate about developing cutting-edge numerical algorithms at the intersection of geometry, stochastic
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information about the role, please click the 'Apply' button above. To apply for this vacancy, you need upload two (2) CVs (Curriculum Vitae) in different formats: a Narrative CV and your standard CV (full
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Job Description Are you passionate about scientific machine learning, particularly physics-informed machine learning? If so, this position might be perfect for you. We are seeking a data scientist
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geospatial data on fisheries activities near OWFs to evaluate the distributional impacts of OWFs across different fleet segments; conducting fieldwork and surveys in collaboration with ‘NO REGRETS’ partners
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, or spatial relationships of objects—and to indicate when it is unsure about its input. Key expected outcomes include the creation of monitoring algorithms that identify early signs of performance issues, and
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spectroscopy. The present project will involve the following steps: • Development of scanning probe near-field sensors based on solution-synthesized metallic nanoparticles • Operation of an existing setup
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the field of Computational Morphodynamics in plants. The work will be within the ERC-funded project RESYDE (https://resydeproject.org ) with the aim of building a virtual flower using multi-level data and
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About us UCL Mechanical Engineering is a leading department committed to advancing engineering excellence for a sustainable future. We are home to a vibrant community of academics, researchers, and
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About Trinity Trinity is Ireland’s leading university and is ranked 87th in the world (QS World University Rankings 2025). Founded in 1592, the University is steeped in history with a reputation for
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This PhD project offers the opportunity to explore a rich and rapidly developing area of research where powerful mathematical ideas unlock exact solutions in quantum physics. Most physical systems