867 data-science-phd "The University of Auckland" Fellowship research jobs in United Kingdom
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- https://www.kcl.ac.uk/jobs/088690-yeoh-tiong-lay-early-career-fellowship
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an innovative and dynamic research group where you will be valued, included and supported. The Research Fellow must have a PhD in epidemiology, data science or other related field or relevant experience. You will
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at The University of Manchester. You will hold an MSc and/or PhD (or equivalent) in epidemiology, medical statistics / biostatistics, health data science, health services research, or some other quantitative academic
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. Strong interest in chromatin biology and/or gene regulation is crucial whilst previous experience in molecular biology, genome-engineering and 3C/Hi-C techniques are desirable. The Opportunity
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(DP2) programme. The applicant will initially lead on projects building a UK-wide linked cohort of patients with asthma using data from UK Trusted Research Environments – this work will be piloted in
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the Centre for Physical Activity, Sport and Exercise Sciences you will undertake and play a lead role in the development of impactful research and consultancy activity. Developing and identifying new research
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Faculty of Social Sciences Location: Highfield Campus Salary: £34,980 to £42,978 per annum Full Time Fixed Term until 31/07/2026 Closing Date: Monday 08 July 2024 Interview Date: To be confirmed
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of Social Sciences addresses some of the most challenging issues facing society today. Now, in its second year the University of Southampton is looking for dedicated early-career researchers to join our
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attached job description for full details of the role. Essential Criteria Completed, or near-completion, PhD in a relevant discipline (such as social sciences, geography or applied statistics) or extensive
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access to data in compliance with appropriate regulations, data centre protocols and the Data Management Plan Essential criteria Completed, or near-completion, PhD in a relevant discipline (or extensive
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where appropriate. About You PhD in the broad area of Computer Science/Engineering and/or Applied Mathematics Detailed and highly specialised knowledge and understanding of Computer Vision, Deep Learning