8 computer-"https:"-"https:"-"https:" Fellowship research jobs at UCL;

  • UCL; | London, England | United Kingdom | 2 months ago

    About us The Division of Biosciences at UCL is one of the world's foremost centres for research and teaching in the biological sciences. You will join the Computational Cancer Biology Group led by

  • UCL; | London, England | United Kingdom | 24 days ago

    (UCL). The successful candidate will join the internationally renowned Biomedical Optics Research Laboratory (BORL) and work within the research programme led by Professor Ilias Tachtsidis, who leads

  • UCL; | London, England | United Kingdom | about 2 months ago

    of the interactions between building stocks, heat and cooling demand, and electricity distribution networks. They will develop new computational approaches, contribute to the expansion of existing modelling tools, and

  • UCL; | London, England | United Kingdom | 2 days ago

    , Operations Management, Economics, Computer Science, or a related discipline. If the PhD has not been formally awarded before the employment start date, the post holder will be appointed at the Research

  • UCL; | London, England | United Kingdom | 3 months ago

    , 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

  • UCL; | London, England | United Kingdom | 28 days ago

    Applicants must have a PhD in Epidemiology, Health Informatics or Applied Data Science, and an a high level of relevant postdoctoral research experience in applied health research, good experience of data

  • UCL; | London, England | United Kingdom | 2 months ago

    hold a MSc qualification (or equivalent) in a relevant discipline such as epidemiology, statistics, public health, health informatics, data science or demography, alongside a doctoral degree or

  • UCL; | London, England | United Kingdom | 3 months ago

    computational modelling of magnetic field distributions and sensor performance, materials and device engineering (spin defect characterisation, optically detected magnetic resonance (ODMR), sensor packaging and

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