120 parallel-and-distributed-computing-"Meta"-"Meta" positions at UNIVERSITY OF SOUTHAMPTON
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United Kingdom Application Deadline 30 Sep 2025 - 00:00 (UTC) Type of Contract Permanent Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job
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the University's student enterprise programme, engaging with students, external partners, and key stakeholders to facilitate impactful projects and initiatives. About You This post presents a fantastic opportunity
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qualification and/or minimum NVQ Level 3 in Mechanical engineering or equivalent discipline and have successfully completed a Mechanical apprenticeship or similar training programme. You will be familiar with
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Join a team where your insight and collaboration drive meaningful change. We’re looking for a thoughtful and proactive Business Analyst to join our Business & Systems Analysis team within iSolutions. This is a fantastic opportunity to contribute to a team known across the University for its...
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different sources Share data, software and models including experimental and simulation data Deploy close-to-data computation and containerisation of data and software Use AI to explore data Make the results
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rata) plus University Closure Days, a contributory pension scheme and a structured training programme are also some of the benefits of this role. This position is being offered on a part-time (19.5 hours
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Immunology discovery community, and CRUK Centres and Institutes across the UK. The Role We are seeking a highly motivated and enthusiastic Early Career Bioinformatician to apply and develop their computational
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technician to support the delivery of the LifeLab programme. LifeLab is a hospital-based classroom providing innovative and inspiring activities to encourage teenagers to make informed choices about their
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of Southampton. We are seeking a collaborative and motivated postdoctoral scientist to work on our Blood Cancer UK-funded programme developing next-generation, off-the-shelf immunotherapies for acute myeloid
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statistical analysis plans. The post holder will work closely with a range of colleagues and partners, including other statisticians, research fellows, computing staff, and research doctors and nurses. The post