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that enable state-of-the-art discrete choice models to be applied to emerging data sources across transport, health and environmental applications. In particular, you will develop new computational and
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Research Fellow role embedded within a major externally funded research programme in soil science. You will lead the delivery of synchrotron and X-ray imaging components of a UKRI Future Leaders Fellowship
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of Biostatistics and Health Informatics in the School of Mental Health and Psychological Sciences at the Institute of Psychiatry, Psychology and Neuroscience. The Department has been a major force in the
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design, data collection, and analysis. Both workshop will be held in one of the project case study countries Essential Criteria PhD in Social Sciences (applicants undertaking PhD and nearing completion
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keeping (essential) Strong expertise in T cell biology (desirable) Proficiency in computational analysis (e.g. R, Python, linux command line) (desirable) Experience in generating and analysing single-cell
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discipline with socio-technical dimensions such as Computer Supported Cooperative work and Human Computer Interaction, software sustainability and computational sciences. Significant relevant research
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Schemes of Service: Research Division: Health and Social Sciences Employment Type: Fixed Term As a University of Applied Learning, SIT works closely with industry in our research pursuits. Our
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as Computer Science, Data Science, Transport Engineering, Maritime, Engineering, Applied Statistics, or Logistics. We particularly welcome candidates with experience in: 1) DT technology, ontology
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Bachelor’s degree in Computer Science, Electrical/Electronic/Software Engineering, or a related field. A Master’s or PhD degree in relevant areas will be advantageous. Familiarity with the following areas is
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proposals to them. Work with the team to create IP (Intellectual Property) from internal grants to target multiple adopters Job Requirements: A good Bachelor’s degree or Master’s degree in Computer Science