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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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ranging from preparation of protocols and applications for ethical and governance approval through to data collection, data analysis and contributing to peer-reviewed publications and presentations, while
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an interdisciplinary research team. The position is based at the University of Saskatchewan and will involve a mix of independent data analysis, collaborative research activities, and manuscript preparation. The work
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analysis. Ability to communicate complex information clearly, orally and in writing (including for academic publication). A PhD in relevant field (e.g. sociology, politics, social policy). A developing
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: Develop novel machine learning theories and techniques for analyzing noisy time-series data, with a particular focus on seismic signals Perform uncertainty quantification in time-series analysis to assess
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the research project - “White adipose tissue (fat) dysfunction in ageing and its related metabolic diseases: new insight and therapeutic intervention”. Qualifications Applicants should have: (a) a PhD degree
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of this role will be in materials characterisation, including isotope geochemistry, chemical and elemental analysis, and the development of mass spectrometry techniques as a part of the RICHeS programme (https
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for analysis of routinely collected healthcare data. They will have experience in designing and implementing economic evaluation models, including decision-analytic modelling, and good knowledge
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Requirements: A PhD degree in mathematics or related areas, with a strong background in topological data analysis (TDA) and machine learning on biomolecular data Proficiency in programming languages such as
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to learn about new concepts such as data analysis. Interested potential candidates are welcome to contact the Study Manager, Dr Joy McFadzean, Clinical Lecturer of Patient Safety, Division of Population