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forecast local generation and demand. To do so, historic local data (e.g., the active buildings in Swansea University) and Met Office data will be used to train and validate the proposed ML model
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The School of Computer Science at the University of Nottingham is pleased to invite applications for a fully funded PhD studentship in deployable, efficient, and trustworthy computer vision. This is
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within trusted digital environments. Their research focuses on ontology-driven conceptual modelling, FAIR data stewardship, and model-driven system/service engineering, dealing with data-driven services
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21 Dec 2025 Job Information Organisation/Company Medical University of Innsbruck Department EPICENTER Research Field Computer science Medical sciences Researcher Profile First Stage Researcher (R1
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University of São Paulo, Brazil. This position focuses on developing advanced computer vision methods and hardware setup for detecting and predicting plant diseases in soybean cultivation. About Us The Chair
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Are you interested in challenging deep learning at its core? And specifically, do you want to perform cutting-edge research and develop novel advances in hyperbolic deep learning for computer vision
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to augment the funds to cover the extra costs associated with international student fees. Exceptional candidates may be eligible for an International Fee Bursary. High throughput kinetics data for steel
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In this PhD you will help explore a new trajectory for AI research, EVE - everyone virtuoso everyday - to succinctly summarise the drive of the work. That is, we are interested in defining and evaluating a class of AI technology that enable expressive, individual and masterful interactions, like...
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24 Dec 2025 Job Information Organisation/Company The Belgian Nuclear Research Centre Department SCK CEN Academy for Nuclear Science and Technology Research Field Sociology Researcher Profile First
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funded by a major research project from the Novo Nordisk Foundation (NNF). The successful applicants would become part of the Data Science & Statistics section at the department. The successful candidate