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will plan and conduct experiments, generate high-quality data, prepare publications, make presentations and help supervise associated PhD students. The successful candidates will join large, supportive
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interdisciplinary research programme involves national and international collaborators. We are a vibrant, enthusiastic, innovative and strategic enterprise with an internationally leading position to make a real
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. Proficiency in the use of statistical programming languages and analysis of large datasets and strong publication records would be essential. Previous experience in atmospheric dynamics and predictability is
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techniques. Motivated and hard-working. Ability to integrate with colleagues, work as part of a team and undertake share of group tasks. Able to carry out learnt techniques unsupervised. Able to plan and
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. The successful candidate will work at the intersection of multi-disciplinary modelling, advanced AI algorithms, and decision-support tool development. Responsibilities will include programming, analysing and
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. Engage in professional development through relevant training programs aligned with project needs and personal aspirations. Assist with the supervision of student project work and provide day-to-day support
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Bachelor's and Master's programs and for participation in university committees What we offer: Work-life balance: Our employees enjoy flexible working hours and can partially work remotely (upon agreement
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. Outstanding written and oral communication skills are essential, along with a proven ability to work effectively within multidisciplinary teams. The candidate must also show a capacity to plan and manage
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The Oxford Internet Institute has an exciting opportunity to join the Governance of Emerging Technologies research programme, working under the supervision of Professor Brent Mittelstadt and
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Science Park. The post is funded by Innovate UK and is fixed-term to 30th April 2026. The CEBD project is an ambitious programme to develop the first category enhanced battery powered eVTOL. The project