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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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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
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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 position is funded for 12 months in the first instance. About you The successful applicant will hold a BSc or equivalent qualification in a relevant discipline (Neuroscience, Molecular Biology, Physiology
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engineering, statistics, and bioinformatics. The successful candidate will join a team with a strong track record in developing computational tools and informatics infrastructure for metabolomics applications
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Job description: We are currently advertising for a Research Associate/Research Fellow in Causal Inference & Health Technology Assessment (HTA) to join the Health Economic and Decision Science (HEDS
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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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Scientists Please note that candidates can apply to this PhD Programme on a maximum of 3 occasions. Candidates must select two of the advertised projects in order of preference. Candidates MUST contact
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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