504 computer-science-"https:"-"https:"-"https:"-"Data-driven-Materials-Modeling" Fellowship positions in United Kingdom
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, interpretability and cognitive modelling of language models. The group is part of the UCL ELLIS Unit and has links to the UCL AI Centre and UCL Computer Science. About the role The postholder will carry out original
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motivated Research Fellow to join an exciting programme investigating the mechanisms underlying white matter injury caused by chronic cerebral hypoperfusion and hypoxia. The successful candidate will
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within a major externally funded research programme in soil science. You will lead the delivery of a substantial component of a UKRI Future Leaders Fellowship, delivering field, laboratory and experimental
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Organisation: Cranfield University Faculty or Department: Faculty of Engineering and Applied Sciences Based at: Cranfield Campus, Cranfield, Bedfordshire Hours of work: 37 hours per week, normally
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under internal company contract and in external collaborative projects etc. Key Qualifications: PhD in computer science specialised on data sharing, digital twins, distributed databases, AI, or a related
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recognised expertise in both experimental and computational hydrogen materials research, spanning materials synthesis, characterisation, atomistic modelling, and materials informatics. We maintain strong
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description here About you You will have: PhD (or in the final stages of PhD submission) in computational biology, evolutionary genomics, computer science, or a related field* Strong analytical, quantitative
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strategic needs in promoting talent cultivation and innovation as well as that of UNNC. UNNC’s undergraduate programme of Business Administration was launched in 2004 and the doctoral programme in 2009
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as Computer Science, Data Science, Transport Engineering, Maritime, Engineering, Applied Statistics, or Logistics. We particularly welcome candidates with experience in: 1) DT technology, ontology
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This project is a part of the consortium for Accelerating Impact programme from EPSRC to scale up CO2 electrolyser for CO production, and derisk for further commercialisation. The project aims