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and practice in society and real-world contexts. Subject area supports early career researchers through internally funded PhD bursaries, an individual mentoring scheme and university-wide research seed
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medically qualified, ST3 and above, have full GMC registration and already hold, or have submitted for Higher Degree (PhD/DPhil/MD). Applicants must also hold a current National Training Number (NTN
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needed The main qualifications, knowledge, skills and experience essential to this post are: A PhD in a social science or mental health subject or equivalent experience Knowledge of both trial
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methods, software engineering, and artificial intelligence whilst within the role. Skills, Experience & Qualification needed (these can be taken from the person specification) You will have a PhD in formal
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, Education, or a related field (PhD preferred). Proven experience in both academia and the IT industry, demonstrating the ability to connect technical expertise with educational leadership. Expertise in
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experience of contributing to and managing projects, developing innovative solutions and practical implementation. Desirable criteria A degree – preferably PhD or MA/MSc in a relevant subject area (e.g. health
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until 01/10/2030. About You To be successful in this role, we are looking for candidates to have the following skills and experience: Essential criteria PhD in a STEM discipline Advanced financial
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and inclusion). Desirable criteria A PhD or other postgraduate research degree. Experience of research in the health sciences and/or understanding of the development needs of health sciences doctoral
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Searching for Sterile Neutrinos and other Beyond the Standard Model phenomena with SBND School of Mathematical and Physical Sciences PhD Research Project Self Funded Dr Rhiannon Jones, Prof Vitaly
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The Japanese Long-Baseline Neutrino Programme (T2K, Super-Kamiokande and Hyper-Kamiokande) School of Mathematical and Physical Sciences PhD Research Project Self Funded Dr S Cartwright, Dr Patrick