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undergraduate students. Applicants should be educated to PhD level in chemistry, physics or materials science (or have equivalent experience), you will have experience of surface-initiated polymerisation
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ethnographic research methods. Candidates must have been awarded a PhD in a relevant field, including but not limited to Science and Technology Studies, Design, Human-Computer Interaction, Critical Disability
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if Applications are invited from candidates with a PhD in history, and an interest and significant previous experience in historical research related to the history of Hong Kong, broadly conceived, or who can
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collaboration with others Contribute to the design of the research Write up research work for publication Manage project communication What will you bring to the role: PhD in socio-legal studies, law
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. Contribute to our postgraduate research training programmes as appropriate Relevant PhD degree (or professional equivalent) and postdoctoral research experience Undertaking and building internationally
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://www.nyu.edu/london.html Applicants should have a PhD in the relevant field. It is expected that the post-holder will ideally have 2 to 3 years of experience teaching at the university level; experience teaching
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://www.nyu.edu/london.html Applicants should have a PhD in the relevant field. It is expected that the post-holder will ideally have 2 to 3 years of experience teaching at the university level; experience teaching
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associated with teaching, supervision and academic administration. The successful candidate will be expected to pursue external research funding and to attract and supervise PhD students, with support
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will start around January 2026. Candidates should have a PhD in Physics or a related subject and an established record of research at an internationally competitive level. They should also demonstrate
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skills and experience: Essential criteria PhD in health or social sciences or similar, awarded to a high level (e.g. first or 2:1) * Experience in quantitative data analysis, including routine data