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Field
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would assist with you undertaking the role. Qualifications PhD, or equivalent professional experience, in Machine Learning, Statistics, Electrical Engineering, Computer Science, or a related field. Key
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in related program areas to gain exposure to and build knowledge on experimental/research activities and approaches, in order to improve conceptual development and industrial implementation. Identify
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, and recommend personalised treatment for musculoskeletal conditions. Key skills will include deep learning, convolutional neural networks and transformers, multimodal AI and fusion modeling. Imaging
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, and recommend personalised treatment for musculoskeletal conditions. Key skills will include deep learning, convolutional neural networks and transformers, multimodal AI and fusion modelling. Imaging
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data analysis, and write scientific reports. In addition, there is scope for supporting PhD students, and collaborating with other experimental and computational neuroscientists within and outside
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continuous seismic datasets from Costa Rica’s National Seismological Network (Red Sismológica Nacional; RSN) creating enhanced earthquake catalogues that will illuminate subsurface volcanic, tectonic and
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Applicants are invited to apply for one Marie Skłodowska-Curie Doctoral Network Researcher position funded by Horizon Europe Marie Currie Doctoral Network grant of the Commission of European Council
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The Oxford Sustainable Law Programme (SLP) is a world-leading multidisciplinary research centre operating at the intersection of law and sustainability. Founded by Thom Wetzer , the SLP is a joint
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collaborative links thorough our collaborative network. The researcher should have a PhD/DPhil (or be near completion) in robotics, computer vision, machine learning or a closely related field. You have an
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of equilibrium dynamics using tensor networks to solve partial differential equations, with applications to many-body quantum systems, as well as computational fluid dynamics and plasma dynamics. The successful