197 parallel-computing-numerical-methods positions at University of Cambridge in United-States
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Nature Conserved | External | £25,000 to £30,500 per annum, depending on skills and experience We are seeking a highly motivated Associate Programme Officer who is passionate about contributing
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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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will be tasked with the development of new models for the early detection of CIN cancers, applying bleeding edge computational methods and machine learning approaches to improve detection and
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the context of computing Familiarity with research tools and methods, including statistics platforms like R and/or thematic analysis Knowledge of user-centred design and research methods involving human
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degree aimed at professionals with at least two years of successful work experience in finance and a strong academic record. The programme is consistently rated number one or two globally by the Financial
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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 Entrepreneurship Programme Coordinator at the Milner Therapeutics Institute (MTI) is an exciting opportunity for an individual to play a key role in coordinating entrepreneurial programmes
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Black British identities. At the project's heart is a Community Panel who will guide, shape and curate a programme of activities, events, exhibitions and other outputs. CUL is also collaborating with
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used. AI methods for generating regulatory hypotheses between genes, hormones and physical properties will also be developed. Applicants must have/be close to obtaining a PhD or MPhil in Computational