24 phd-in-architecture-interior-design-built-environment Postdoctoral positions at University of London
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drug discovery. This is a new group at the University and you will support Professor West in it’s transfer from the University of Sussex. About You You will have a PhD in a relevant area and well
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that affect our society. You will have a PhD in a scientific discipline with previous experience of extracellular vesicle research, including per-reviewed publications. About the School/Department/Institute
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£42,091 per annum, inclusive of London Allowance. About You You must hold a PhD in Cultural Studies, Media and Communication, Digital Cultures, or other relevant subject in Humanities and Social Sciences
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) and reports and will work as part of a team. About You The candidate will have a PhD or be close to holding a PhD in the musculoskeletal field and expertise in the area of osteoarthritis or cartilage
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degree and PhD (or close to completion) or research qualification/experience equivalent to PhD level in the relevant subject area for the research programme; with a productive track record and have
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demonstrate: A PhD (or near completion) in a relevant field such as inflammation, ageing, or vascular biology Proven proficiency in murine in vivo techniques, including injections, tissue sampling, and colony
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to the newly built Fitness and Wellbeing Centre located on site (gym, badminton, climbing wall, Zumba, yoga, and Pilates classes included) Cycle to work scheme. Free mini-bus service to and from Potters Bar
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also have or be close to completing a PhD in any of the following areas as well as the will and commitment to learn relevant topics from the other areas: Statistical and machine learning, mathematical
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approach. About You The ideal candidate will have a PhD (or close to completion) in areas related to AI and/or animal cognition, behavioural neuroscience. You should have general experience with research in
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detection models, with a focus on achieving generalisable multimodal understanding in zero-shot settings. About You The successful candidate must have a PhD (or equivalent) in the field of computer vision or