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well as physiological responses. You will be working with an interdisciplinary team. We welcome applications from people with a broad background in Electrical Engineering and Electronics, Computer Science, and/or
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in both research and education with other UCL departments, including computer science, engineering, economics, psychology, public policy, statistics and medical sciences. About the role The UCL School
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to the development of the Department’s research strength; (c) undertake teaching duties at various levels; (d) provide leadership in developing a programme, a subject discipline or a research programme, etc.; (e
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We are seeking to recruit a Postdoctoral Research Associate in Inorganic Materials Synthesis to work in a multidisciplinary Engineering and Physical Sciences Research Council Programme Grant team
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technologies, neurodegeneration models, and interdisciplinary collaboration. This is an exciting opportunity to contribute to a growing research programme with the potential to lead to PhD study or further
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Research Assistant/Research Associate* in Cardiovascular Epidemiology (BHF Scholarship) (Fixed Term)
be considered. As a group, we value and encourage applications from a diversity of background and experience to contribute to the highly interdisciplinary research programme. We strongly value and
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Biomedical Campus. You will join an exciting research programme investigating fundamental mechanisms of ribosome assembly, translational control and how defects in these processes drive cancer development
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applications and contribute to the evidence-base behind our innovative training programme, to develop compassionate, resilient healthcare practitioners. About you The ideal candidate will have a Master’s degree
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The GOdogs group is looking to appoint researcher to our group which studies the genetics of obesity, starting with canine genetics but with a strong programme of allied human comparative genetics
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One Research Associate position exists in the data-driven mechanics Laboratory at the Department of Engineering. The role is to set up a machine learning framework to predict the plastic behaviour of polycrystalline metals. The post holder will be located in Central Cambridge, Cambridgeshire,...