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Field
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department in its field, running a globally competitive programme of research and teaching. Botnar Institute for Musculoskeletal Sciences enables and encourages research and education into the causes
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outcome sets. You will either need a PhD (or be nearing completion), in computer science, data science, artificial intelligence/machine learning (AI/ML), health data science, bioinformatics or a related
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positions, funded by the Engineering and Physical Sciences Research Council (EPSRC). The starting date of these positions is flexible. The successful candidate will be part of a research group with
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We are seeking two full-time Postdoctoral Research Assistants to join the BOLD Lab at the Department of Engineering Science (central Oxford). The post is funded by EPSRC and is fixed-term for 12
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this, the postdoctoral researcher will combine machine learning, molecular dynamics simulations and high performance computing (Isambard AI). Applicants must have a PhD in an appropriate area of computational chemistry or
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) in Psychology, Cognitive Science, Computational Linguistics, Linguistics, Computer Science, or a related field. Strong quantitative, statistical, or computational programming skills (e.g., R, Python
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major Cancer Research UK strategic programme investigating how colorectal cancer responds to therapy through the integration of spatial biology, computational analysis and clinical research. Working
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in this role, we are looking for candidates to have the following skills and experience: Essential criteria PhD (or near completion) in a relevant subject area (including Computer Science, Engineering
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to define and evaluate AI biomarker models. You should hold a relevant technical PhD/DPhil (or near completion) in medical video analysis or computer vision with a video focus and ideally have prior
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demonstrated by good research track record Familiarity with SAXS methods and data analysis Relevant experience with data collection, processing and data analysis for complex multidimensional NMR experiments