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. The research project will build on recent research performed in Dr. Perego’s team about the implementation of the mathematical Darboux Transformation in the optical domain resulting in the proposal
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- Stratification of Therapies through Adaptive Responses (CRC-STARS) is a CRUK strategic programme. Through multiomic and spatial biology exploration of temporally distinct samples from clinical trials and advanced
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the Department of Informatics, part of the Faculty of Natural, Mathematical & Engineering Sciences (NMES). The department is internationally recognised for its contributions to robotics, AI, and human-centred
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of Natural, Mathematical & Engineering Sciences (NMES) comprises Chemistry, Engineering, Informatics, Mathematics, and Physics, all departments highly rated in research activities and a wide-ranging portfolio
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via independent study and training courses. It is essential that you hold a PhD/DPhil (or close to completion) in mathematics, computational biology, physics or a related discipline, and have experience
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close to getting a relevant doctoral degree and have a solid background in the mathematics/statistics/computer science needed in machine learning. Previous experience in the application fields is an
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record. We welcome applications from candidates that have acquired their skills in technical fields like physics, engineering, applied mathematics, or computer science, as long as they have had prior
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should have a MRes or PhD (or submitted at time of appointment) together with a strong academic track record, in a relevant area (e.g., Neuroscience, Medicine, Genetics, Mathematics, Engineering, Computer Science
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skills (e.g. Python, Julia) to merge concepts of chemical engineering, operations research and computer science, as you may also need to deploy machine learning to support data analytics and complex
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the Department of Computer Science and Engineering, at the University of Cambridge, UK. The Postdoc will work across several projects, interfacing with teams of students and research collaborators on developing