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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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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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, development, and maintenance of research software solutions to accelerate research and outcomes within TransiT. The RSE will allocate a portion of time to training and mentoring the large PhD/Postdoctoral
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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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We are seeking to appoint an experienced AI Research Specialist to develop, test, and implement AI/Machine Learning models for the analysis of real-world healthcare applications using NHS data
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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
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postgraduate programmes to military and civil service students, responding to the ever-evolving needs of military education. Our teaching equips professionals with the knowledge, creativity and intellectual
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institutes. Teaching Responsibilities In the role of a lecturer, the successful candidate will teach undergraduate courses in Electrical & Computer Engineering (ECE) program. The expected workload for the in
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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