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training. Teaching and Learning is important to the Department and University and all applicants will be expected to be able to play a full role in teaching across the undergraduate and postgraduate
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opportunity to work at the intersection of multimodal AI, cancer biology and digital pathology. The successful applicant will have a PhD or MSc with a significant machine learning element and/or experience with
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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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, Bayesian Statistics with a focus on nonparametric methods, Bayesian Computational Methods, Extreme Value Theory, Biostatistics, Probabilistic machine learning, Medical sciences and engineering applications
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a PhD in mathematics or a related discipline and be able to demonstrate previous research experience in using mathematical Machine Learning and AI methods, or applied mathematics, to solve challenging
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combined with human support. About the role The Research Scientist in Machine Learning for Wearables will develop predictive deep learning models to assess maternal and partner health and behaviour
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, you will work to develop and implement machine learning approaches to identify lakes and lake drainage behaviour, and to deploy these workflows at scale. Based at Lancaster University, you will join our
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methods based on AI and machine learning. You will develop compuaitonal methods and build models of proteins and develop and apply tools for structure prediction. You will simulate protein complexes and
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, Computer Engineering, Electrical and Electronics Engineering programmes. The successful candidate will contribute across the School of Engineering but will play a key role within the Digital Engineering and
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of disseminating research to both academic and industrial audiences. Qualifications PhD (or close to completion) in Computer Science, AI, Data Science, Machine Learning, Edge Computing, Signal Processing