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Field
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culture. Person Specification Essential criteria A first degree in Materials Science, Chemistry, Physics or related subject, and a PhD (or close to completion) in Materials Science, Chemistry or a related
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Qualifications* PhD in Computer Science or Engineering, Biomedical Engineering, Neuroscience, Bioinformatics, or other relevant field. Experience with machine learning and statistical analyses. Proficiency with
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timely and quality deliverables. Co-supervision of MSc and Final Year Project students involved in this project. Job Requirements: Bachelor/Master/PhD in Electrical and Electronic Engineering/Computer
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with strong analytical and numerical skills, and backgrounds in physics, theoretical neuroscience, applied mathematics, computer science, engineering, or related fields. Experience in relevant research
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multiple long-term conditions navigate their social care needs. The position is full-time fixed-term until 01/04/2026. About you You will hold a PhD or equivalent professional qualification and experience
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PhD, or near to completion (or equivalent experience) in a relevant field, including statistics, mathematics, computer science, epidemiology Strong mathematical and quantitative skills Familiarity
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health, Epidemiology, Data Science/Analytics, Psychology, or other related disciplines • Minimum 3 years of research experience, preferably in program evaluation, public health or applied social science
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for long-term roadmap development. Job Requirements: MSc or PhD in Electrical Engineering, Electronics Engineering, AI, Chip Design, Computer Science, Cybersecurity, or a related field Proven experience with
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- the School of Innovation & Technology (SIT) the School of Design, the School of Fine Art and the Mackintosh School of Architecture. The School of Innovation and Technology combines academic study at
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dynamic research environment Job Requirements PhD in Polymer Science or Materials Science Specialization in plastic compounding, carbon fibre reinforcement, and nanomaterials (graphene and 2D materials is a