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alongside computational biology approaches to map epigenetic changes driven by WNT/GSK3 signalling in ESCs. This collaborative project offers access to world-class expertise, state-of-the-art resources, and
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of The University of Glasgow Inference Dynamics and interaction Research group, in the School of Computing Science, including establishing and sustaining a track record of independent and joint publications
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into and in work, and relevant secondary data, and help produce case studies of supported employment initiatives in the four HDRC areas. You will also work to develop a programme theory and with the research
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Computer Science, Data Science, AI, or a related field with substantial expertise in data science/AI methods Strong publication record in relevant areas Demonstrated ability to work across disciplinary boundaries
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The purpose of this role is to support the work of the RICHeS programme at QUB providing research and access to archaeological and heritage science. The RICHeS Scientist (Research Fellow) will be a
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structured development programme and provision of both formal and ‘on-the-job’ training. The posts are also open to those who are returning to academia after a career in another sector. Successful applicants
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The purpose of this role is to support the work of the RICHeS programme at QUB providing research and access to archaeological and heritage science. The RICHeS Scientist (Research Fellow) will be a
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-cell genomics/computer science (AI), neuroscience, vascular biology, developmental biology, cancer biology, immunology, biology/biomedicine, pharmacy, biomedical engineering, or related fields with ample
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in physics, engineering, computer science, and mathematics is essential. Expertise in data analysis and inversion, Proven experience with geophysical, physical, or sensor data analysis, including
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Job Description Position Details Department of Applied Health Sciences, School of Health Sciences, College of Medicine and Health Location: University of Birmingham, Edgbaston, Birmingham UK Full