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Field
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obtaining, a PhD in computer science, engineering, mathematics, or a related physical sciences discipline, with research expertise in areas such as hardware-aware AI security, approximate computing, or secure
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meet the following essential criteria: Have or about to obtain a PhD degree in Computer Science, Computational Biology or other relevant discipline (*must be obtained within 3 months of commencement of
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with a PhD in computer science or bioinformatics are encouraged to apply. We create statistical, machine learning, and deep learning approaches for the processing of this data, with a major focus on
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such as physics, astronomy, or computer science; Experience working with scientific research teams, promoting diversity and inclusivity. Experience conducting astronomical research using scientific
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Engineering and Computer Science. The position is vacant from the fall 2025. This is a trainee position that will give promising researchers an opportunity for academic development through a PhD education
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particularly suited to candidates with a strong quantitative background. We welcome applicants with training in mathematics, statistics, health economics, computer science, or epidemiology, particularly those
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based at the School of Electronics and Computer Science, Southampton. The project is researching, developing and evaluating decentralised algorithms, meta-information data structures and indexing
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Department of Health Technology and Informatics Postdoctoral Fellow (Ref. 250703002) [Appointment period: twelve to twenty-four months] Duties The appointee will assist the project leader in
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multi-omics (PMIDs:33558758 [Nature Genetics 2021], 33514395 [Genome Biology 2021], and 33627474 [Genome Research 2021]), electronic health records (100 million electronic patient records, PMID
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of Computer Science and Information Technology of the foundation universities will join in a new School of Computer Science and Information Technology. The joint team’s research strengths include artificial