20 parallel-and-distributed-computing-"DIFFER" PhD positions at University of Cambridge
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Fixed-term: The funds for this post are available for 3 years. A doctoral studentship is available in the forthcoming Aspirational Computing Lab (February 2026) in the Department of Computer
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Starting Date 1 Jan 2026 Is the job funded through the EU Research Framework Programme? Horizon Europe - MSCA Marie Curie Grant Agreement Number 101227453 Is the Job related to staff position within a
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Fixed-term: The funds for this post are available for 12 months A position is available for a Postdoctoral Research Associate (Postdoc) in the forthcoming Aspirational Computing Lab in
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Two fully-funded 3-year PhD studentships are available in Neuromorphic and Bio-inspired computing at the interface between control engineering, electrical engineering, computational neuroscience
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the field of Computational Morphodynamics in plants. The work will be within the ERC-funded project RESYDE (https://resydeproject.org ) with the aim of building a virtual flower using multi-level data and
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to the launch of the Bloomberg Cambridge University Corporate Bond Index later in 2025 and the delivery of the ongoing research programme related to the index project. The successful candidate will undertake desk
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Central Cambridge, Cambridgeshire, UK. The key responsibilities and duties will explore the range of possible non-sulphate aerosols - mostly powdered ceramics with different coatings - and will consider how
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Central Cambridge, Cambridgeshire, UK. The key responsibilities and duties will be to first explore the range of possible non-sulphate aerosols - mostly powdered ceramics with different coatings to allow
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PhD students, three Research Assistants, as well as research visitors and interns. We value our team's complementary skills (e.g., differing backgrounds, research approaches, and areas of expertise
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the proportion of individuals within different ethnic groups classified as high risk. - Develop multistate survival models (MSM) to estimate transition parameters between cancer progression states across risk