18 algorithm-development Fellowship positions at ;

  • ; | Warwick, England | United Kingdom | 3 months ago

    perceptual and cognitive tasks, investigating the generality of behavioural biases. A recently-developed statistical sampling model of human cognition will then be compared against existing approaches with

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

    highly motivated researcher to develop artificial intelligence based novel algorithms and computational workflows to predict the impact of mutations on genes in the avian flu virus and the viral host which

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

    binding pockets. About the role We are seeking a highly motivated researcher to develop artificial intelligence based novel algorithms and computational workflows to identify domain functional families

  • ; | United Kingdom | about 1 month ago

    COG-MHEAR is a world-leading cross-disciplinary research programme funded under the EPSRC Transformative Healthcare Technologies 2050 Call. The programme aims to develop truly personalized

  • ; | Birmingham, England | United Kingdom | 3 months ago

    developing and devising machine learning algorithms in an energy context Ability to assess research resource requirements, and use resources effectively, to plan and manage research activity Strong analytical

  • ; | Edinburgh, Scotland | United Kingdom | 2 months ago

    HiPerBreedSim project. In this role, you will leverage recent advances in working with ancestral recombination graphs (ARGs) to develop algorithms and code for simulating population genomic data, including

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

    foundational understanding of children's agency in digital environments increasingly dominated by AI systems. The UCL team is specifically focusing on the educational technology angle, developing agency

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

    research in fundamental & applied AI that is directly relevant to policy. to develop and deliver expert-led training on AI to civil servants across government. Fellows will spend 50% of their time on each

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