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design, and help predict failure mechanisms during LAT production. There is also scope to develop coarse-grained computer simulations (e.g. dissipative particle dynamics) to expand the chemical and
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background in modelling, interested in thinking about the sea and the plankton which live there. There are dedicated funds for computer equipment, and travel to support you in your scientific work. If you are
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collaborate closely with the AQA project team and have opportunities to build their research profile through demos, presentations, and academic publications. Candidates should hold a PhD in Computer
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publications in medical image analysis or computer vision video analysis. Knowledge of ultrasound imaging is not a requirement but an interest in research at the interface of machine learning with real-world
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or computer vision with a video focus, and ideally have prior experience of working with echocardiography or fetal echocardiography or related experience on real-world video analysis Informal enquiries may be
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About the Role This is an exciting position where applicants are invited to join a multi-disciplinary team of bioengineers, biomedical scientists, and computer scientists working together at Queen
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About the Role This is an exciting position where applicants are invited to join a multi-disciplinary team of bioengineers, biomedical scientists, and computer scientists working together at Queen
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About the Role This is an exciting position where applicants are invited to join a multi-disciplinary team of bioengineers, biomedical scientists, and computer scientists working together at Queen
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sophisticated machine learning tools for image processing Experience in mathematical modelling Knowledge in comparative neuroscience (comparative vertebrate neuro) Proficiency in basic computer packages (eg
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successful in this position, you will ideally bring the following: For the Networking and AI position: Completed a PhD in Computer Science, Electrical & Computer Engineering, or a closely related field Expert