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Field
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computing, computer architecture, programming models and high performance computing. These are your qualifications: Must-haves: Completed doctoral/PhD studies in Computer Science or a closely related field
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following skills and experience: Essential criteria A PhD in Cell or Molecular Biology, Immunology or a related subject * Experience of mammalian cell culture (both primary and cell lines) Excellent knowledge
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into real-world settings. You will be responsible for developing machine learning and AI algorithms for a range of data and applications (e.g. natural language processing, multivariate time-series data
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, delivering tested methods, and creating algorithms to expand MMFM capabilities across domains like cardiology, geo-intelligence, and language communication. The postholder will help lead a project work package
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collegiality is at the heart of what we do. The Department’s research structure consists of five Research Groups: Algorithms and Complexity (ACiD) Artificial Intelligence and Human Systems (AIHS) Network
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algorithmic graph theory. The purpose of the role is to contribute to the project "Algorithmic meta-classifications for graph containment", working with Professor Matthew Johnson, Dr Barnaby Martin and
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The Role Applications are invited for a Postdoctoral Research Associate in Computer Science with a particular emphasis on structural and algorithmic graph theory. The purpose of the role is to
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/Z534304/1 (assessed under the ERC Advanced Grant scheme). The ideal candidates will hold a PhD in theoretical/condensed matter physics, with knowledge of non-equilibrium many-body physics and methods
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/Z534304/1 (assessed under the ERC Advanced Grant scheme). The ideal candidates will hold a PhD in theoretical/condensed matter physics, with knowledge of non-equilibrium many-body physics and methods
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, technicians, and will have the opportunity to teach. Applicants should hold (or be close to completing) a PhD. Candidates are expected to demonstrate a capacity for independent research work and an ability