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months, in the first instance. Application Process If you would like to discuss this role please contact Prof Regent Lee at regent.lee@nds.ox.ac.uk Applications for this vacancy are to be made online. You
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institutions, and leading industry partners. The successful candidate will contribute to the delivery of high-impact research projects involving AI algorithm evaluation and image data analysis. You will play a
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-holomorphic Hilbert Modular Forms”. The central aim of the project is to develop explicit algorithms for computing with non-holomorphic Hilbert Modular Forms and using these algorithms together with theoretical
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and maritime. For informal enquiries, please contact Prof John McDermid, CfAA Director, (john.mcdermid@york.ac.uk ). Skills, Experience & Qualifications Needed Successful applicants will have a first
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the Natsal research team, and in particular Lead Data Analyst (Dr Elise Paul), as well as co-PI (Pam Sonnenberg), the Academic Director (Soazig Clifton), bio sample lead (Prof Nigel Field), and data linkage
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for a 3-year fixed period, ideally starting in November 2025 or as soon as possible thereafter. Informal enquires should be directed to Prof. Anna Peacock (acp@orc.soton.ac.uk). Applications
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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
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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
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the Neurogenesis and Brain Cancer group led by Prof. Simona Parrinello. The team uses a variety of state-of-the-art technologies, including advanced imaging, single cell and spatial ‘omics’, barcoding, mass
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here, https://www.gov.uk/guidance/academic-technology-approval-scheme . The appointment is for 36 months, starting as soon as possible. Informal enquiries are welcomed and should be directed to Prof