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have, or will be close to completing, a PhD (or equivalent professional qualifications) with strong quantitative research methods in a relevant discipline (e.g. gerontology, statistics, demography
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in Python, experience of machine learning with scikit-learn and the ability to work collaboratively. This position is ideal for someone who has recently or is about to finish their PhD and is
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completion of a relevant PhD qualification. The title of Research Fellow will be applied upon successful completion of the PhD. Prior to the qualification being awarded the title of Senior Research Assistant
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Novel Optical Fibre for application in process control, evaluation and health monitoring of high value composites We are actively searching for a dynamic and self-motivated researcher to work on the
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policymakers. It is essential you have an equivalent professional qualifications or PhD, and experience in Computer Science in the broad area of knowledge graphs, software engineering, research software and data
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take forward this exciting opportunity and become part of an innovative and dynamic research group where you will be valued, included and supported. The Research Fellow must have a PhD in epidemiology
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candidate is required to have a PhD in operations research, mathematics, computer science or a related area. Experience in discrete optimization, demonstrated by at least one publication, is essential. Strong
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scattering patterns to reconstruct X-ray images. The successful applicant will have a PhD or equivalent level qualification and experience in the use and development of algorithms for phase retrieval in
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dynamics as well as interactions with other cellular components. Ideally applicants should possess a PhD in biochemistry (or related descipline) and ideally experience in either Drosophila research and/or
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collaborators and travel to academic conferences and project meetings to present the work. Successful candidates must hold (or close to completing) a PhD in a relevant subject. Knowledge and experience in