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Athina Spiliopoulou, Prof Paul McKeigue, and Dr Andrii Iakovliev, and with postdoctoral researchers and students in our team. They will also interact and collaborate with academic, clinical and industry
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collaborative scientists and external companies. Candidates must hold or expect to shortly obtain a PhD, or equivalent in Chemistry, Chemical Engineering or similar Science / Engineering degree and/ or have a
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students in the development of broader supervisory skills. Additionally, you will be expected to contribute towards the scientific health of the school of chemistry through activities such as outreach
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knowledge in a way which develops new intellectual understanding Disseminate research findings at progress review meetings with project supervisors and project partners Supervise Masters and PhD students
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postgraduate degree, ideally a PhD, in statistics, machine learning, or a related field. Experience of developing new statistical methods and a strong working knowledge of a statistical software package, such as
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standard while supporting the broader objectives of the faculty. You will also: Hold a recently completed doctoral degree (PhD or DEd) in Childhood Studies or a closely related field. Demonstrate a strong
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reputation Plan, design and co-ordinate research activities and programmes Contribute to the development of research strategies Publish results of own research Supervise PhD students Contribute
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PhD students or submit research grants as a principal investigator. Time spent in teaching-only roles or academic related roles does not affect ECR status, provided no research element was part of
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tenable for up to 4-years. Applications are welcome from graduates of any university. Candidates will usually have completed their PhD, but must not have undertaken more than 3-years of postdoctoral work by
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post-doctoral, or with a clear sight to completing PhD with the research competencies to match, registered clinician, healthcare, or care practitioner They have a strong track record in practice-research