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& International Health is seeking to appoint a Research Fellow in Health Data Science (with a focus on machine learning) to NeoShield , a multi-country implementation research programme focused on neonatal sepsis
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& International Health is seeking to appoint a Research Fellow in Health Data Science (with a focus on machine learning) to NeoShield , a multi-country implementation research programme focused on neonatal sepsis
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combined with human support. To learn more please visit https://www.kcl.ac.uk/research/embrace About the role The Research Fellow in Digital Health & Data Sciences is focused on the development and
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Engineering, Construction Management, or related field Strong skills in AI/ML, data analytics, or digital twin systems Experience with BIM (e.g., Revit/IFC) and data integration Programming experience (e.g
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if the candidate can self-learn the knowledge within a short time (e.g., 1 month). Have a degree in computer science, computer engineering, electrical engineering or equivalent. Possessing a Master’s or PhD degree
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20 Apr 2026 Job Information Organisation/Company Cranfield University Department HR & Development Group Research Field Engineering Researcher Profile Recognised Researcher (R2) Positions PhD
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18 Apr 2026 Job Information Organisation/Company UNIVERSITY OF SOUTHAMPTON Research Field Engineering Researcher Profile First Stage Researcher (R1) Application Deadline 30 Apr 2026 - 00:00 (UTC
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16 Apr 2026 Job Information Organisation/Company UNIVERSITY OF SOUTHAMPTON Research Field Chemistry Engineering Chemistry Researcher Profile First Stage Researcher (R1) Application Deadline 5 May
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(s.afshan@soton.ac.uk ) for further information about this position in advance of submitting your application. Applicants should hold a PhD in Structural Engineering or equivalent professional qualifications
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-zero emissions by 2050. About You Applicants should have a doctorate degree or equivalent (PhD/EngD) in Engineering, Manufacturing, Transport, Computer Science, Data Science, Sustainability, or a closely