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of this programme, we welcome applications if your background is in any biological, chemical or physical science or mathematics and are interested in using your skills in addressing biological questions
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science or engineering subject such as Mechanical Engineering, Aerospace Engineering, Materials Science, Physics, Electrical and Electronic Engineering or Computer Science. If English isn’t your first
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Neuro-Symbolic AI for Trustworthy Clinical Decision-Making: Bridging Linguistic Fluency and Logical Reasoning in Large Language Models (S3.5-COM- Valentino) School of Computer Science PhD Research
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executing and optimising multi-step organic syntheses Essential Application / Interview Experience in computational chemistry and molecular modelling techniques Desirable Application Strong interpersonal and
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, aerodynamic noise, machine learning, stochastic algorithms, uncertainties This University of Sheffield PhD project is part of the EPSRC Centre for Doctoral Training in Sustainable Sound Futures programme
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Computational Circular Design: AI-assisted optimisation for disassembly (C3.5-AMR-Casamayor) Advanced Manufacturing Research Centre PhD Research Project Competition Funded Students Worldwide Dr Jose
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Next generation processing methods for lithium-ion batteries (S3.5-CMB-Smith) School of Chemical, Materials and Biological Engineering PhD Research Project Competition Funded Students Worldwide Prof
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Machine Learning Quantum Phase Transitions via Topology- and Symmetry-aware AI School of Mathematical and Physical Sciences PhD Research Project Competition Funded UK Students Dr Marco Fazzi
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Quantum Dot Spin-Photon Interfaces for Photonic Quantum Technologies (C3.5-MPS-Brash) School of Mathematical and Physical Sciences PhD Research Project Competition Funded Students Worldwide Dr
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Computational Circular Design: Development, scalability and computational efficiency of surrogate-assisted many-objective optimisation algorithms for circular design for disassembly (C3.5-AMR