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processing, epithelial organoid culture and functional assays, liver organoid or liver-derived cell assays, molecular biology, immunostaining, imaging, quantitative PCR, ELISA or multiplex assays
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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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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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simulation. Applicants are expected to have a PhD, or are awaiting its award, in a relevant area (Theoretical/Computational Physics or Chemistry), and experience in the area of quantum many-body theory
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PhD students, with a strong record of success. The team has won 15 paper awards at major conferences, including CHI and ASSETS, and has secured around £3M in research funding from a range of sources
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three-year (BSc) and 4-year (MSci) versions as well as MSc and PhD programmes. Further information may be found at: http://www.kcl.ac.uk/physics About the role: We are seeking a highly motivated and
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information. About you To be successful in this role, we are looking for candidates to have the following skills and experience: Essential criteria PhD in applied mathematics, statistics, engineering
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experience: Essential criteria PhD in climate change adaptation, human geography or cognate discipline Expertise in transdisciplinary and co-produced research methods Track record in publishing
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Staff Development for more information. About you To be successful in this role, we are looking for candidates to have the following skills and experience: Essential criteria 1. PhD qualified in a
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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