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relevant bio/health-related or computer-science subject Knowledge of neuroimaging, machine learning, and/or neurodevelopment Proven record of ability to conduct high quality research in relevant health
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this role, we are looking for candidates to have the following skills and experience: Essential criteria Undergraduate degree (at least second class honours) in relevant bio/health-related or computer-science
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work to ensure our community’s diversity and inclusiveness. This is why we warmly encourage qualified candidates from all backgrounds to join our community. The Department of Computer Science is an
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Oxford Population Health (the Nuffield Department of Population Health) provides an excellent environment for multi-disciplinary research and teaching and for professional and support staff. We work
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health, and bioinformatics. You will apply advanced AI methods - from classical machine learning to large language models and agent-based AI - on large-scale healthcare datasets, including structured
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mental health omics data more harmonized, accessible, understandable, and useful to researchers, clinicians, industry, and people with lived experience. You will work closely with a multidisciplinary team
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“Comprehensive assessment of the biology and public health importance of Anopheles stephensi in Africa (AnoSTEP Africa)” working with Prof Heather Ferguson and Prof Fredros Okumu at the University of Glasgow, and
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work to ensure our community’s diversity and inclusiveness. This is why we warmly encourage qualified candidates from all backgrounds to join our community. The Department of Computer Science is an
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holiday package; plus the opportunity to buy more, great pension schemes and a number of health and wellbeing initiatives to support you. Closing Date: 12 December 2025 The Role This is an exciting
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Job Purpose The candidate will contribute to the work of the consortium *Policy Modelling for Health (HealthMod”, 2024-2028) and associated projects, *working with Dr. Andreas Hoehn, Prof. Petra