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at the intersection of blockchain, artificial intelligence (AI), and sustainable chemistry. In particular, the role will involve: (i) designing blockchain architectures and smart contracts for CO2 credit tracking
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About the Role This is an opportunity to work as part of the team and project “Development of Multi-Modal Foundational Models and AI Accelerators for Zero-shot Intelligent Surveillance System
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the implications of connecting wearable computing devices such as smart glasses to artificial intelligence large language models. The exact contribution of the post-holder will depend on their background and
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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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researchers on the project including documented database and storage handling from the various sensing modalities, biomechanical analysis and interpretation of the motion capture data and generated motion
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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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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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, 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 intelligence experts to generate new projections
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in relevant research fields Desirable criteria Multi-modal image analysis expertise Real-time detection and segmentation methods for clinical applications Surgical video analysis, e.g. workflow