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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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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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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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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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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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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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Additional Information Work Location(s) Number of offers available1Company/InstituteAI LEARN centreCountryNorwayCityBergenGeofield Contact City Bergen Website https://www.uib.no/en/charterandcode Street
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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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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
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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