497 computer-science-quantum-"https:"-"https:"-"https:"-"https:"-"https:"-"Univ" positions at University of Sheffield
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a 2:1 honours degree or an MSc with merit/distinction (or equivalent) in Chemistry, Physics or Materials Science. Experience in computational modelling (quantum chemistry or force fields) is essential
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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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Artificial intelligence and machine learning methods for model discovery in the social sciences School of Electrical and Electronic Engineering PhD Research Project Self Funded Prof Robin Purshouse
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molecular biology, as well as some understanding of soil science. For informal enquiries about the project, please contact Prof Julie Gray Link to website: https://sheffield.ac.uk/biosciences/people/academic
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sophisticated in their design and servicing. Main duties and responsibilities · Responsible for mechanical engineering works within the designated zone and in other disciplines or zones to assist with
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Using Generative AI to create design fictions for responsible technology innovation (C3.5-COM-Law) School of Computer Science PhD Research Project Competition Funded Students Worldwide Dr James Law
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Computational photochemistry/Vibrational control in transition metal complexes School of Mathematical and Physical Sciences PhD Research Project Self Funded Prof AJHM Meijer Application Deadline
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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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"ROSEHIPS" Programme Grant. The ROSEHIPS project is focussed on creating new technology for Population-Based Structural Health Monitoring (PBSHM). It is a consortium between the Universities of Sheffield
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BBSRC Yorkshire Bioscience DLA Programme: The needle in the haystack - single molecule detection of extracellular vesicles in complex biological contexts School of Mathematical and Physical Sciences