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relationship between funding and medal targets, and athlete experience. The post holder will assist in a project that explores questions related to the nature of the demands placed on elite athletes to meet
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. Experience with CRISPR gene editing, microinjection and/or animal work would also be an advantage. Preferred start date October 2025 - the post is available until September 2029. You should have a PhD or
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) at the University of Oxford, Old Road Campus in Headington, Oxford. The unit undertakes research about pregnancy, childbirth and newborn babies. This is an exciting opportunity for a post-doctoral Qualitative
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well as strong computing skills, including the knowledge of UNIX/Linux, Fortran, Python, or other high-level languages. The post is full time and fixed term for 3 years. The closing date for applications is noon
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). The post is funded by NIHR and is fixed-term for 24 months, with a possible extension. This project is about creating novel AI models to predict patient outcomes following acceptance or refusal of an offer
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, the post-holder will be working in close collaboration with a multidisciplinary team of researchers in Guy’s Campus, Denmark Hill and UCL. About the role: To investigate the cellular mechanisms underlying
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part of a multi-disciplinary team. This is a full-time post (35 hours per week), and you will be offered a fixed term contract for 1 year. About You To be successful in this role, we are looking
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for this vacancy should be made online and you will need to upload a supporting statement and CV. Your supporting statement must explain how you meet each of the selection criteria for the post using examples
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of Physics offer an inclusive and diverse environment and workplace. We strongly encourage applications from all backgrounds and genders to apply. The post-holder will have the opportunity to teach. Please
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) at the University of Oxford, Old Road Campus in Headington, Oxford. The unit undertakes research about pregnancy, childbirth and newborn babies. This is an exciting opportunity for a post-doctoral Qualitative