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year of doctoral studies, the candidate will have the opportunity to acquire and develop digital research tools. Research questions may address concept annotation in small corpora, historical linguistics
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collaboration with the PI and lab members. Design, implement, and analyze behavioral and neuroimaging (fMRI) experiments. Develop and apply computational models (e.g., reinforcement learning, drift-diffusion
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. You will collaborate closely with experts at CERA and Melbourne Medical School, supervising students and shaping ambitious projects. You will strengthen your publication record and grant-writing
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manufacturer and technology company. Applications are invited for a 3.5-year EPSRC funded UDLA PhD studentship. The studentship will start on 1st October 2026. Project Description As Deep Learning and
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hazardous or harmful knowledge from collaboratively trained models, positioning the work within the broader trustworthy AI agenda. The project sits at the intersection of privacy-preserving machine learning
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, aligning cutting-edge research with societal relevance and international collaboration. Our work integrates multidisciplinary studies across Earth's system components, leveraging advanced technologies and
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applied research project on the detection, localization and interpretation of explosion events in underground ammunition storage facilities. The position is embedded in a collaborative project with
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this industrial PhD studentship in Physics – fully funded by the University of Exeter and Leonardo UK. We’re looking for a student who has a passion for science, with ambition to learn and apply their own ideas
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systems, statistical physics and machine learning, and using these insights to develop new methods, with the support of competent and friendly colleagues in an international environment? Are you looking
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universities, research institutions, and museums in a highly collaborative network, supported by the Muoniverse Research School, which coordinates training, exchanges, and career development for PhD students and