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About us We are seeking to appoint a postdoctoral research fellow with an excellent track record in knowledge graphs, semantic technologies, and machine learning. Topics of interest in this area include
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machine learning, with proven experience working with large language models: including fine-tuning, prompt engineering, and evaluation of LLM outputs 3. Experience or demonstrated interest in
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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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nonlinear system identification, optimisation, computational complexity, and data-driven modelling, with the long-term objective of extending these ideas to modern AI and machine learning models. The
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willing to start imminently, and before mid October this year. The project intended for the post-doc is part of a collaboration within my group on the Google Willow Chip project (https
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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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, hepatology, pathology, microbiology, immunology, surgery, veterinary medicine, bioinformatics, core facilities, other departments, individuals and labs. Qualifications Applicants should have a PhD, MD, MD/PhD
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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