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part of the Green Algorithms Initiative in the Department of Public Health and Primary Care, one of Europe's leading academic departments of population health sciences. The post will suit researchers
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Prior experience of Flower or similar FL platforms Responsibilities Assist in the development and benchmarking of federated learning algorithms Contribute to MLOps tools for monitoring and scheduling in
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animals, while Prof Durbin's works on computational genomics and large scale genome science, including the development of new algorithms and statistical methods to study genome evolution. Moving forward
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in applying and developing the theory and algorithms needed to simulate these challenging systems is an essential prerequisite. The successful applicant must have a PhD degree in theoretical chemistry
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our software development team, developing novel scientific algorithms and applications in the areas of spectroscopic analysis and mining of the science data catalogues extracted from the pipelines
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. A typical candidate will have at least two years of experience in the following areas: advanced AI algorithms (e.g., generative AI, diffusion models), human touch sensing and tactile sensor
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organisational goals. Stay at the forefront of AI advancements, translating breakthroughs into actionable solutions. Develop robust algorithms and tools to analyse structured and unstructured data and improve
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improve care of people who have sustained a mTBI. For example a machine learning algorithm developed to detect TBI lesions on CT (BLAST-CT, developed by our group in collaboration with academics