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Field
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leadership of their own research programme. The ideal candidate will have the following qualifications and attributes: A PhD in mathematics, theoretical physics, or a closely related discipline (or expected
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of glucose. You will hold a PhD in a relevant field; A lower grade offer may be made (Grade 6) with comparable reduction in responsibilities and amendment in job title to Research Assistant, if a suitable
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years of experience as a Lab engineer, including the PhD. Job-SpecificSkills: Strong understanding of machine learning principles, particularly deep learning architectures (e.g., transformers, RNNs
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the Centre’s datasets and using data analytics and machine learning, this Centre strand will build a blended data resource that can help to gauge the prevalence, forms, and distribution of slavery in wars
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. The Manipulation and Touch Lab investigates manipulation in humans and robots, haptic sensing, haptic interfaces and machine learning. More information may be found at: https://www.imperial.ac.uk
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cutting-edge machine learning methods for spatial omics and for multi-modal data integration. The post-holder will also collaborate on the development of new computational methods to support the CoRE’s
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an expert in the use of advanced statistical inference and machine learning methods for the analysis of omics datasets. You will work with a team of data scientists in Manchester and Oxford to create tissue
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the centre. Successful applicants will have (or be about to obtain) a PhD in computational biology or computer science, with knowledge of multimodal spatial omics data integration and machine learning
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operation, aligned with financial and operational incentives. The ideal candidate will have: A PhD in Computer Science or a related field Experience in developing and evaluating reinforcement learning systems
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the Safety and Surveillance Group and the wider Agency. The successful candidate will have: A PhD in Computer Science, Statistics, Machine Learning, Data Science or a similar quantitative discipline or