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Field
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machine learning or AI methods in healthcare research, particularly within digital trials or real-world data studies. Expertise in analysing complex digital health data, including wearable sensor data
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dissemination and grant writing. About you You will hold a PhD (or be close to completion) in a relevant field, in addition to experience of implementing or fine-tuning LLMs using machine learning libraries
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simulation techniques will be used to design proteins; a particular focus is binding flexible regions and antibody design, which are challenging for current machine learning approaches. You will become
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dissemination and grant writing. About you You will hold a PhD (or be close to completion) in a relevant field, in addition to experience of implementing or fine-tuning LLMs using machine learning libraries
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external). High level of computer literacy including familiarity with MS Office applications and some experience with content management systems (e.g., Contensis and/or WordPress) and learning management
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Engineering, potentially including Power Electronics, Machines and Drives, Network Optimisation and Reliability, with the ability to teach our students to an exceptional standard and to fully engage in
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order to gain novel understanding of the molecular mechanisms underlying disease. About You You will have a PhD (or equivalent qualification) in computer/statistics/data science or similar field. You will
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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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, electrical machines and drives, and supporting curriculum development in alignment with industry needs. Candidates are expected to demonstrate strong academic credentials and the ability to contribute to both
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, algorithm development, AI, and machine learning, supporting fusion energy engineering through advanced simulation and workflow optimisation. You will work on impactful, collaborative projects across academia