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Manolache (c.manolache@sheffield.ac.uk) Applied Mathematics and Theoretical Physics : Dr Sam Dolan (s.dolan@sheffield.ac.uk) Mathematical and Statistical Modelling : Prof Jonathan Potts (j.potts
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AI algorithms applied to medical images To lead effort on enabling translational and physician-in-the-loop AI solutions for medical imaging QUALIFICATIONS Successful applicants will have: a PhD in
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please feel free to contact Prof. Julie Balen, via Julie.balen@canterbury.ac.uk (strictly no agencies, thank you) quoting reference number REQ05589. Please note, Canterbury Christ Church University
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modellers using advanced simulations to interpret and validate observations via data assimilation. There will be opportunities to spend time with project partners at UCLA (Prof. James McWilliams) and attend
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-fostering prototypes through co-design with children, creating evaluation frameworks to assess children's algorithmic agency in educational contexts, and establishing design principles that prioritize
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only within dense, highly interacting systems, inaccessible to standard techniques. To probe such regimes requires the development of fast and scalable algorithms for many-component systems, and of
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) lead market analysis, requirements gathering, and conceptual design; (b) optimise electromagnetic design of motor through simulations; (c) develop control algorithms and models; (d) guide
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scientists, nuclear medicine physicians) to develop and implement innovative AI algorithms applied to medical images To lead effort on enabling translational and physician-in-the-loop AI solutions for medical
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to) fundamental research in machine learning or statistics, algorithm design, the application of AI methods in science, healthcare, social sciences, or business. You should have a PhD or equivalent level of
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). The successful candidate will be based at UC within the Meisrimler group and co-mentored by Dr. Claudia Meisrimler (UC) and A/Prof Dr. Carl Mesarich (Massey University). You will collaborate with a