187 computer-science-programming-languages-"St"-"ST"-"University-of-St" positions at King's College London
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, mathematics, chemistry, informatics and engineering. About the role: The Strategic Project Manager is key in leading successful project delivery to meet the strategic aims, ambitions, and objectives
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-design, and entrepreneurship within the Digital Health Academy and our Innovation Scholars Programme. You will lead on creating a new module, Navigating Governance in AI-driven Healthcare, giving learners
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Strategic Programme Manager (OKI) and Director of Service & Impact to develop and deliver an evaluation strategy to support OKI’s transition from pilot to business-as-usual, using evidence to guide future
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are looking for candidates to have the following skills and experience: Essential criteria 1. Engineering or Science degree (MSc. or PhD) in applied mathematics, physics, biophysics, computer vision
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coordinated services for students, staff & partner providers, enabling the delivery of education through managing quality, programme, placement and assessment administration. We provide dedicated student
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diseases and a strong public and patient involvement and engagement programme. About the role The clinical research fellow will undertake research activities, focussed on either stromal cell therapy in liver
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history of philosophy, philosophy of mind and psychology, philosophy of language and linguistics, metaphysics, epistemology, and philosophy of science and ethics and political philosophy. About the role We
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opinions to more senior colleagues to assist them with programme decisions. To ensure that procedure and programme documentation is kept up to date and stored appropriately. To support educational
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focus will also be the strategic growth of our flagship Parent Power programme into new regions, in partnership with The Brilliant Club. This initiative empowers parents and carers to engage actively in
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Proficiency in statistical programming languages (e.g., R, Python, or Stata) Experience of dealing with common methodological challenges in medical research (e.g., missing data, clustered data, longitudinal