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, cleanroom fabrication, performing cryogenic microwave measurements, and data analysis. You are expected to participate in advising and mentoring PhD students. Your experience and ambitions
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disciplines, maintain secure datasets and participate in wider research community, including Queen Mary’s Digital Environment Research Institute. About You The successful applicant will hold a PhD (or close
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) Essential selection criteria: Relevant PhD/DPhil (or be near completion), in engineering, physics, mathematics, or similar, together with relevant experience Strong background in mathematical optimisation
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testing for all three projects. Applicants should hold a relevant PhD/DPhil (or be close to completion) in engineering or a related discipline. Post-qualification research experience and a strong
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postdoctoral research scientists and PhD students in utilising in vivo brain tumour models to identify molecular targets underlying tumour maintenance and resistance to chemo, radio and immuno-therapy, using
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Pathania, you will be a new core member of the newly relocated group in Oxford. You will assist postdoctoral research scientists and PhD students in utilising in vivo brain tumour models to identify
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will hold a PhD in a relevant field (e.g. molecular parasitology, biochemistry, genetics, or cell biology) and will be highly motivated and organised. Practical experience in sterile eukaryotic cell
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successful in this position, you will ideally bring the following: For the Networking and AI position: Completed a PhD in Computer Science, Electrical & Computer Engineering, or a closely related field Expert
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of CH previously developed in our group. About You We are seeking quantitatively-minded researchers with a PhD in physics, mathematics, computer science, mathematical/computational biology, evolutionary
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. You will also have the opportunity to gain supervisory skills by supporting Masters and PhD students, where necessary within the group. Skills, Experience & Qualifications needed The postholder should