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teams Strong skills in mathematical modeling and optimization Experience or interest in artificial intelligence / machine learning Good programming skills, e.g. Python or equivalent Experience in
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of Artificial intelligence Knowledge of optical coherence tomography Please note that this is a PhD level role but candidates who have submitted their thesis and are awaiting award of their PhDs will be
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Analysis for Stable AI” funded by a European Research Council Advanced Grant. The Opportunity: This postdoctoral position will be devoted to research on algorithms in Artificial Intelligence (AI) from
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Hands on experience with fibre optics Commercial/spinout exposure Knowledge of Artificial intelligence Knowledge of optical coherence tomography Please note that this is a PhD level role but candidates
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: Otaniemi Campus, Espoo, Finland Join a cutting-edge research environment where architecture, landscape architecture, and artificial intelligence meet to address complex environmental challenges. About the
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effective lines of communication with all team members The candidate should have a PhD in molecular or cell biology, or a closely related discipline, or equivalent research, industrial or commercial
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flexible working, Enhanced Parental Leave, funds for Parents and Carers, and the potential to join community staff networks. About the role You will join a team of climate scientists and artificial
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to artificial intelligence (AI) (e.g. computer science, engineering, Statistics, and mathematics etc.) The post is available for 30 months, starting on 1 September 2025. If you are still awaiting your PhD to be
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young people, their families, and educators to develop a neurodiversity-affirming toolkit to explore children’s character strengths, abilities, and potential across contexts. Embedding Artificial
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Postdoctoral Researcher: Oxford Centre for Emerging Minds Research ‘All About Me’ (Adolescent Focus)
Artificial Intelligence and assistive technology, we aim to be at the forefront of equipping key stakeholders to identify, explore, and scaffold opportunities for strengths-based approaches that allow