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, but are not limited to: natural language processing, large language models, graph learning, general pre-trained transformers, prompt engineering, knowledge graphs, knowledge representation
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offers an excellent opportunity to develop expertise in porous materials, molecular separations, and sustainable chemical processing. Faculty of Science & Engineering Department of Chemical Sciences
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Discipline Computer Science , Engineering & Technology , Electrical & Electronic Engineering Job Type Academic Posts , Postdocs Contract Type Fixed Term Hours Full Time Apply on website Save job Click to add
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a start date from the 01st January 2027. You should hold a PhD in Computer Science, with expertise in Natural Language Processing, and have a demonstrated track record of research at the intersection
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doctorate in a relevant discipline and demonstrate strong programming skills and research expertise in artificial intelligence, machine learning or related areas. Faculty of Science & Engineering Department
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. Closing date: 20 October 2026. Business unit: Natural, Mathematical & Engineering Sci. Department: Physics. Contact details: Dr Eleanor Crane. [email protected] Location: Strand Campus. Category
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. Business unit: Natural, Mathematical & Engineering Sci. Department: Physics. Contact details: Sergi Garcia-Manyes. [email protected] Location: Strand Campus. Category: Research. Back to
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, behaviour change, implementation science, and health services innovation. Faculty of Science & Engineering Department of Computer Science & Information Systems Contract Type: Specific Purpose Salary Scale
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an industrial partner on characterisation and upgrading these fractions and testing their application in asphalt and heat systems. Faculty of Science & Engineering Department of Chemical Sciences
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be hands-on, self-motivated with good communication skills. Experience within an industrial setting will be an advantage, particularly on product/process development. Faculty of Science & Engineering