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successful at shortlisting stage, please ensure you clearly evidence in your application how you meet the essential and, where applicable, desirable criteria listed in the Candidate Information.
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are the principal intellectual home of scholarly efforts that explore in-depth the dynamic and interconnected histories, religions, and philosophies of the world. You can find further information on the key criteria
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, Inequality, and Opportunity. About you You have completed, or be close to completion, of a doctorate in a social science discipline (or a relevant data science field), have interest and research in the field
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of multimorbid cardiovascular disease progression. The role will involve laboratory research, data processing and analysis. About you As the successful applicant, you will have a BSc or MSc in a Biological Science
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-Doctoral Research Associate. Preference may be given to candidates with active interests in one or more of the following areas: colour vision, machine learning, computer vision, and virtual reality. The core
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identification of phases in metallic systems such as aluminium alloys or steels. You will have demonstrated expertise in applying machine learning and computer vision techniques for the analysis of scientific
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Economic Research and Data (WISERD). This is an exciting opportunity to join a landmark UKRI-funded research project examining political attitudes and democratic engagement in Wales in the lead-up to and
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communication skills, capable of translating complex interdisciplinary research for diverse audiences. For further information and informal enquiries regarding the role, please contact Dr. Mark Kasumovic via
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modulation of disease-relevant cellular readouts. The postholder will lead major experimental workstreams within the programme, taking responsibility for experimental design, data generation, and integration
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archaeology. For a full role profile, please refer to the job description. Further Information To be considered for this opportunity, please submit your CV and Covering Letter by clicking ‘Apply’ at the top of