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engineering or computational sciences (computer science, data science) or related discipline (Research Associate level) A higher degree in Engineering or Computer Science or related disciple (Research Assistant
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Assistant/Associate will be to support project aims on a grant programme designed to better understand cell division errors in mammalian oocytes. You will harvest, culture and apply various imaging and
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that underpin our data infrastructure and user-facing applications. To find out more, please contact Philip James (Professor of Data Science) at philip.james@newcastle.ac.uk This role is fixed term for a period
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, spanning weeks and months. The programme concludes with a clinical proof of concept research study in a patient cohort, with the technology being deployed in approximately 30 homes across Newcastle and
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, Engineering, or a related discipline (a minimum of 2:1 undergraduate qualification) A Meng, MSc or PhD in Computer Science, Electrical and Electronic Engineering, Mechatronics, Control Engineering, Physics
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including a PhD or equivalent in a relevant subject area, ideally with experience of post-doctoral academic development such as provided by an NIHR Clinical Lecturer post or equivalent post-doctoral
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synthesis methods Significant experience of conducting single technology or multiple technology appraisals, and/or early value or late stage assessments for NICE for either the TAR or the EAG programme
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collaborative team engaged in a range of research projects in marine hydrodynamics, both computational and experimental. This is a fully on-site role, with work taking place in the office and laboratory. We
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reporting); financial management; and business case studies. Applicants should either hold a professional accounting qualification (e.g., ICAEW, ACCA) or a PhD in a relevant accounting discipline (or be
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Faculty of Medical Science postgraduate and undergraduate courses as required Identify and undertake a programme of professional development, including further training in research methods and other