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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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have a strong knowledge of core computing topics. We are specifically seeking expertise in Machine learning Data management Artificial intelligence Data visualisation and analytics Data mining Cloud
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join the Physical Mathematics Laboratory, a team of researchers led by Dr. Stuart Thomson with interests in physical applied mathematics, machine learning, and robotics. The successful candidate will
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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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structure prediction tools. This will include development and application of interactive molecular dynamics simulations in virtual reality, and use of design methods based on AI and machine learning. You will
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, including linear-scaling density functional theory (LS-DFT), quantum embedding, and machine learning potentials, to systematically characterise unidentified colour centres, and explore this vast
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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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stakeholders Knowledge of new and emerging digital tools and their application within urban planning and design (for example, the growing use of AI/Machine Learning in local planning authorities) Lecturer Grade
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Information Retrieval. You will also have support from a Senior Company Supervisor. Candidates should have a degree of Master or PhD in Computer Science, Artificial Intelligence, Machine Learning, Software