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of state-of-the-art Computational Chemistry techniques, and you will extend the boundaries of computational materials design through the combination of cutting edge electronic structure simulation techniques
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tasks. In particular, methods for incrementally learning skill representations jointly from textual descriptions and spatio-temporal information of action sequences will be developed and evaluated
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AHRC Collaborative Doctoral Partnership Applications are invited for a PhD studentship, to be undertaken at Cranfield University (CU, Defence Chemistry Department) and the National Archives (TNA
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PhD Studentship in Computer Science: AI and Machine Learning Explainability Award Summary 100% Home fees covered and a minimum tax-free annual living allowance of £18,622 (2023-24 UKRI rate
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Award summary 100% home fees covered and a minimum tax-free annual living allowance of £19,237 (2024/25 UKRI rate). Overview Lightweight engineering materials offer a promising avenue for achieving
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Criteria You must have, or expect to gain, a minimum 2:1 Honours degree or international equivalent in a subject relevant to the proposed PhD project (inc. any physical sciences, computing, mathematics
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Project title: Atomistic Simulations of Surface Chemistry underpinning the Atomic-Scale Processing of Materials for AI-driven Nanoelectronics Applications Supervisor: Dr. Bora Karasulu (Assistant
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by UKRI under the Frontier Research Guarantee scheme. The project aims at developing single-molecule optoelectronic devices, leveraging the opportunities given by synthetic chemistry into the wider
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Supervisors: Prof. James Kermode (Engineering) and Dr. Thomas Hudson (Maths) Summary: Inverse problems are a general class of problems that involve calibrating the parameters of a model using
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Daniel Marsh – [email protected] Project summary The School of Chemistry is offering a PhD studentship, funded by the Science and Technology Facilities Council (STFC), in the general areas of planetary