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Field
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integrating advanced vision and language transformers with an Explainable AI (XAI) layer, the project aims to create a robust system for accurate threat identification, providing actionable intelligence
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Deadline: 30 September 2025 A fully funded 3.5 year PhD position is available to work on the project titled “Scalable benchmarking for digital quantum computers based on blind testing
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Royal Holloway, University of London | Kingston upon Thames, England | United Kingdom | about 13 hours ago
relations with non-HEI partner organisations. SEDarc’s vision is to offer a transformative social science training experience that combines leading- edge research skills training, high-quality placements
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18 Sep 2025 Job Information Organisation/Company Eindhoven University of Technology (TU/e) Research Field Engineering » Computer engineering Engineering » Electrical engineering Physics
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adaptation techniques for varied communication contexts Key Responsibilities Develop and implement computer vision approaches for sign language recognition Create capabilities that look beyond hand gestures
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laboratory team is likewise highly recognized for its research in computer vision and neuro-inspired artificial learning. Both teams have been collaborating for four years on projects at the interface between
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job funded through the EU Research Framework Programme? Horizon 2020 Reference Number BAP-2025-549 Marie Curie Grant Agreement Number 101227453 Is the Job related to staff position within a Research
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flow behavior. The project also involves applying machine learning and computer vision techniques to enhance data analysis, pattern recognition, modeling, and prediction. The role requires a solid
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funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Notice of Competition
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) and with the Computer Vision Laboratory at the Department of Electrical Engineering (ISY), a world-class research environment specializing in machine learning, deep learning, and visual perception