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Field
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computing. You will join the Vision & Human-Robot Interaction (VHR) Group, which brings together researchers working at the intersection of computer vision, robotics, and assistive technologies. The team is
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. Analysing and processing data from biomechanical instruments Preparing written outputs, including interim updates, literature review reports, and reports for stakeholders. Attending and contributing
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perspectives shape the research process and outcomes, and will contribute to dissemination through academic publications, conferences, and non-academic outputs such as policy briefings and creative engagement
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You To be successful in this role, we are looking for candidates to have the following skills and experience: Essential criteria PhD qualified in relevant subject area (muscle physiology, muscle biology
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experienced by the organisms. We welcome applicants with geochemical expertise, but this will not be the main focus of the post. Applicants must have (or be about to obtain) a PhD in sedimentary geology
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You To be successful in this role, we are looking for candidates to have the following skills and experience: Essential criteria PhD qualified in relevant subject area * Knowledge of Raman spectroscopy
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skills and experience: Essential criteria PhD qualified in relevant subject area (muscle physiology, muscle biology, genomics, epigenetic etc.) * Prior experience with single cell omic pipelines Proven
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-up (Bruker dimension icon), and has further access at QMUL to SEM and TEM. We offer competitive salaries, access to a generous pension scheme, 30 days’ leave per annum (pro-rata for part-time/fixed-term), a
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results Participating in commercialization of developed materials Qualifications: PhD in one of the following broader experimental areas: physics, chemistry, materials science Experience with thin film
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12 January 2026, and is fixed-term for 7 months. Applications will be considered from those very close to completing their PhD, in which case you will be appointed as a Research Assistant. Starting