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@seas.harvard.edu . Applications will be reviewed on a rolling basis. Basic Qualifications A Ph.D. in Mathematics, Computer Science, or a related field, by the start of the appointment. Additional Qualifications
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machine learning, data science, mathematics or a computational science), or a postgraduate qualification with a major statistical component. There is scope for the role to be undertaken in a hybrid manner
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Programme Exceptional starting annual leave entitlement, plus bank holidays Additional paid closure over the Christmas period Local and national discounts at a range of major retailers As an equal
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of public health including health policy, health promotion, health systems, services and management, digital health and analytics, health information management and informatics, and occupational health
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, in all countries except Israel. Candidates currently enrolled in a PhD program may apply if they complete their dissertation defence successfully no later than June 1, 2026. Applicants must not have
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Ciferri, VP of Protein Sciences, and in collaboration with the Bioconjugation and Delivery Lab led by Dr. Stephanie Monson. This group is responsible for the design and generation of new medicines
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Universities? You will join a collaborative programme with Merck Electronics KGa, a world-leading company working in liquid crystals. You will work with a team of scientists from the company along with Dr
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Queen’s Communities and Place (QCAP) is an AHSS Faculty flagship research initiative based in the School of Social Sciences, Education and Social Work. It launched in November 2021 and supports
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Applications are invited for a Research Associate/Fellow, based in the Institute of Mental Health (IMH), to work on the NIHR-funded Lived Experience Narratives in Dementia (LEND) programme. This is
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 4 hours ago
of drug development, regulatory science, and advanced computational modeling. This position will involve integrating mechanistic modeling and machine learning methods to analyze and predict drug properties