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environment. The post will be based at the University of Southampton Waterfront Campus. The role and about you You will support academic staff, PhD students and undergraduate students within the Physical
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appointee will be expected to make a significant contribution to leadership, management, enterprise and delivery of education at both UG (BM) and PG (PGT/MSc in Biomedical Science by Research/PhD) levels
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candidates will have a PhD or equivalent in a relevant discipline and experience in the development of machine/deep learning (ML/DL) methods for engineering and will use this experience in collaboration with
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contributing to a supportive team environment. In this role, you’ll also help train and support researchers and PhD students, so strong communication and mentoring skills will be a plus. The initial appointment
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through a relevant PhD, but may also have been achieved via other research experience, normally supported by a relevant postgraduate degree (e.g. MSc in Health Psychology, digital health or computer science
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co-develop a next-generation ocean component for integration into the universal climate model OASIS. We are looking for a candidate with a PhD (or equivalent) in Physical Oceanography, Atmospheric
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seek someone who can start immediately in October 2025. Applications for Research Fellow positions will be considered from candidates who are working towards or nearing completion of a relevant PhD
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testing. They will hold a PhD in the field of machine learning and prediction/decision modelling or related discipline. Applicants are expected to hold or achieve Advance HE Associate Fellowship
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. Teamwork & Collaboration Work alongside postdocs, PhD students, and collaborators to deliver project goals. Provide flexible support across experimental workflows as needed. About You Knowledge, Experience
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) cell activation against blood cancer and is expected to identify novel therapeutic strategies to improve the outcome for patients. You will be part of a team of research technicians, PhD students