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, Nutritional Sciences and Women's Health cluster) for REF was rated as world-leading or internationally excellent. We use this expertise to teach the next generation of health professionals and research
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scale. Posted: 19 June 2025. Closing date: 11 September 2025. Business unit: Faculty of Life Sciences & Medicine. Department: Department of Population Health Sciences. Contact details:Professor Josip Car
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-grained simulations, advanced sampling, and machine learning for predicting and analysing short-lived protein conformations. Enhance and automate workflows for reproducible simulations and structure-based
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Application Deadline: Applications accepted all year round Details Self-driving laboratories (SDLs) combine the power of artificial intelligence (AI) and machine learning (ML), robotics, and automation
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, and Bash Excellent communication skills You might also have Familiarity with modern machine learning, in particular large language models Experience with the design and implementation of web interfaces
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qualification in Computer and Data Science A master's degree or PhD [awarded in computing or a closely related discipline will be an advantage] Proven work experience with the development of ML Proficient in
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explore data-driven methods including machine learning (ML) and artificial intelligence (AI) techniques, to develop predictive HMPM tools that can diagnose, detect, and predict faults in machinery
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(DPAG), Oxford University. You will work alongside leading experts in mitochondrial metabolism, and engaging with postdoctoral scientists, PhD candidates, and research staff. In this environment, you will
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Physics informed learning for high fidelity medical simulators School of Electrical and Electronic Engineering PhD Research Project Self Funded Prof Sanja Dogramadzi Application Deadline
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or more of the teaching areas of the department: Computer Science Computer Networks Ethical Hacking Network Security You will be expected to have relevant teaching experience and a PhD in Computer