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Field
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solutions to the inclusion and net zero challenges facing twenty first century urban mobility. The ideal candidate will have: Demonstration of at least one of the following PhD in a relevant field (e.g
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, PhD students, and research assistants. One project involves the development of a combined functional MRI - electrogastrography (EGG) protocol; a second involves respiratory interoception in a patient
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contribute to the university’s research culture. You will have 1) a completed PhD in a Humanities subject, preferably History, Cultural/Literary Studies, or Social Sciences, 2) Expertise relevant to the topic
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biomedical data scientist / computational biologist to join our highly collaborative team at QMUL. PhD (or close to completion) or research qualification/experience equivalent to PhD level in the relevant
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will hold a PhD (or equivalent research experience) in International Relations or a related field, with demonstrable expertise in nuclear politics and/or deterrence. You will have a track record of
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probing experiments Data analysis Publications in peer-reviewed journals and presentations at international conferences Supervision of trainees and students This is part of your profile: A PhD degree in
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to have the following skills and experience: Essential criteria PhD in Neuroscience or near to completion* At least one first-author publication in a scientific journal Extensive experience working with
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2025 or as soon as possible thereafter. You will have recently finished or be finishing a PhD or PDRA position and have a desire to work in the Department of Geography/Climate Research Group
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computational biology and mathematical spatial analysis via independent study and training courses. It is essential that you hold a PhD/DPhil (or close to completion) in mathematics, computational biology, data
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will also develop skills in mathematical modelling and spatial analysis via independent study and training courses. It is essential that you hold a PhD/DPhil (or close to completion) in mathematics