164 phd-student-positions-digital-forensics Postdoctoral positions at University of Oxford
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We are seeking a full-time Postdoctoral Research Assistant in AI for Digital Health to join Professor Tingting Zhu’s research group at the Department of Engineering Science (Headington, Oxford
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As part of the Oxford Martin School Digital Pandemic Preparedness Programme and the Leverhulme Centre for Demographic Science (LCDS), Nuffield Department of Population Health (NDPH) are recruiting a
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students and PhD students. Applicants will have, or be close to completing a PhD in a relevant field and possess relevant experience, in the area of probability or statistical machine learning. They will
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to less experienced members of the research group, including postdocs, research assistants, technicians, and PhD and project students. In this post you will manage your own academic research and
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doctoral students. Results should be presented at national and international meetings as well as published in leading subject and high-impact publications. Applicants should hold a PhD/DPhil, (or close
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education serves to politicise today’s students, through a longitudinal, mixed methods study. The project is being conducted in collaboration with colleagues at Durham University and the University
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This position involves working in a research team on the project “Accelerated carbon dioxide release from sedimentary rocks in a warming world” which is funded by the NERC Pushing the Frontiers
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of migration in cetaceans’. The post holder will provide guidance to less experienced members of the research group, including research assistants, technicians, and PhD and project students. The post holder will
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interpret high-resolution datasets that reveal new insights into disease progression, with the ultimate aim of identifying novel biomarkers and therapeutic targets. You will hold a relevant PhD/DPhil
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responsibility for carrying out research for a new Wellcome Trust funded project that uses high-field 7-Tesla MRI, cognitive neuroscience tools, neurofeedback training and digital phenotyping to characterise