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Field
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· experience coordinating and managing the end‑to‑end grant application process, contributing to project development in public health or digital health research · strong research administration capability
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and testing a prototype tool with young people, practitioners and computer scientists to support improved identification, understanding and support for self-harm in young people. You will support the
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modelling knowledge, incorporate reliability/uncertainty, and/or explainable models. The position is in the Digital Signal Processing and Image Analysis Group, Section for Machine Learning, Department
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metal matrix composite (MMC) coatings. You will help fill critical knowledge gaps in process monitoring, optimisation, and control for laser cladding, contributing directly to the development of a cost
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supplemented, enhanced, and analysed during the project. We will use digital imaging and other techniques to recover new texts and will deploy approaches from Computational Linguistics (including Large Language
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Spinoza's Theological-Political Treatise, this Schmidt Sciences-funded phase integrates large language models with computer vision to systematically uncover hidden networks of controversial printing during
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for a Postdoctoral Research Associate (Level A) to join our research team and evaluate a school-based digital intervention to improve youth mental health. In this role you will coordinate research