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psychological issues, through research-informed teaching and active, real-world learning. This is an exciting opportunity to be part of this progressive Faculty, where you really can make a difference. A position
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an allied field. An MSc degree in a relevant area is desirable though not necessary. Experience in coding (e.g., Python/R/Matlab) and experience in behavioural experimentation, statistics, or machine learning
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and engineers. Key Responsibilities 1. AI Model Development & Testing Assist in developing machine learning and deep learning models for medical imaging analysis. Implement and fine-tune models using
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Surrey’s track record of translating fundamental machine learning, spatial audio and audio-visual AI into groundbreaking creative technology. About you We seek a talented Research Fellow to investigate
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that enhance learning and employability. You will actively contribute to research and enterprise through developing projects, securing funding, publishing high-quality outputs, and integrating research
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and learning, strategic research, and stakeholder outreach to provide maximum benefit to our communities, we conduct research that advances knowledge and enhances teaching, focusing on strategic areas
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and learning, strategic research, and stakeholder outreach to provide maximum benefit to our communities, we conduct research that advances knowledge and enhances teaching, focusing on strategic areas
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on real-world health data analysis — including study design, data wrangling, phenotype development, data integration, and statistical and machine-learning methods — to accelerate project delivery
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’. Palaeoverse (https://palaeoverse.org/ ) is an organisation aiming to unite the palaeontological community through shared resources, agreed standards, and a collective commitment to improving reproducibility in
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the university to provide academic, teaching and administrative services that underpin the day-to-day activities of the whole organisation. Details of the Digital Strategy and ongoing work can be found at https