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research, publications and other research outputs. The purpose of this role is to assist with the data collection and analysis for this project, including research in archives based in the United States
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University Department of Psychiatry, clinical institutions such as Cambridgeshire and Peterborough NHS Foundation Trust, and with a secondment to industry (Akrivia Health) to advance science and develop common
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machine learning tools and working on Linux High-Performance Computing platforms would be highly desirable. This is a highly collaborative role and you will work with scientists and clinicians from other
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-projects within the ambit of the project. The role holder will be expected to plan and manage their own research and administration, with guidance where required, and to assist in the preparation
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Mathematics and Mathematical Statistics. Duties include developing and conducting an individual program of research. The successful candidates will usually be associated with one of the departmental research
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industry, as well as academic groups in chemical biology, chemical engineering, and data science. We have an excellent structure for the continued education of our group members and offer teaching and
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the starting date is negotiable. The current funding is guaranteed from the Montague Burton Fund. We are looking for a candidate who is a health economist with excellent computational skills. The post is
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bioinformatics/computer science will be essential. Prior experience with connectomics data is highly desirable. Our group has developed an international reputation in this area and our tools have now been used in
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-generation AI hardware (ASIC) accelerators. The UK's Advanced Research Invention Agency (ARIA) is supporting an ambitious programme of work that aims to reduce the the cost of AI by more than 1000x: https
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research centre well-known for its close-knit community, friendly atmosphere, and outstanding research support. We are seeking a post-doctoral research associate with experience in computational approaches