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We are looking for a highly motivated candidate to pursue a PhD programme titled " CFD-informed finite element analysis for thermal control in wire-arc directed energy deposition ." This research
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interdisciplinary environment combining food packaging, food chemistry, toxicology, and data science. You will gain expertise in advanced chemical analysis and interpretation of complex exposure data
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defects Analysis and interpretation of experimental data Documentation and publication of results in reports, scientific manuscripts, and conference presentations in English Collaboration with and co
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STFP Home sign in | focus RAP opportunity at National Institute of Standards and Technology NIST Application of Artificial Intelligence Techniques for Acquisition and Analysis of
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complementary strands. Fusion methods under exact constraints. Monte Carlo Fusion and its sequential Monte Carlo extensions combine separate posterior inferences, for example from different data sources
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with the ARIA Safeguarded AI programme project “Data-Parallel Proof Checking for Monoidal Theories”, led by Professor Fabio Zanasi within the Programming Principles, Logic and Verification (PPLV
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reasoning rather than a particular answer. A software application or data analysis project that you are proud of: what it does, what was challenging about it, and what your own contribution was. This may
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central focus is the creation of AI-driven medical digital twins by integrating large-scale genomics, multi-omics, and longitudinal health data. We are an interdisciplinary and collaborative team
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We are offering a three-year PhD fellowship in pharmaceutical data science focusing on database design for amorphous pharmaceuticals commencing 15 November 2026 or as soon as possible thereafter
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analysis, scientific visualization, and machine learning, at undergraduate, advanced, and postgraduate levels. Our research group at the division consists of more than 20 PhD students, senior