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? Then check out the vacancy below and apply for a PhD position in this exciting research direction. Join Us! Modern deep learning is progressing fast. Yet even the most advanced neural networks are paired
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benefits toward a net-zero future. Project specific entry requirements: The PhD should have background in Materials, Chemistry, Engineering etc. Potential PhD programme of study: PhD in Renewable Energy
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Europe. Through an extensive training program, 10 PhDs will be delivered to the European R&D ecosystem, with expertise in low data ML with domain knowledge in synthetic organic chemistry and drug discovery
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domains, including architecture, anthropology, arts and culture, computer science, history, literature, linguistics, management, and more. Selected candidates will be enrolled in PhD programmes under joint
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One fully funded, full-time PhD position to work with Prof. Mahesh Marina in the Networked Systems Research Group at the School of Informatics, University of Edinburgh. The broad aim
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at the timely recognition of errors and anomalies. In particular, a computer vision system based on a network of cameras will be developed for the real-time 3D reconstruction and understanding under
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PhD Positions Country Spain Application Deadline 6 Jan 2026 - 23:59 (Europe/Madrid) Type of Contract Temporary Job Status Full-time Is the job funded through the EU Research Framework Programme? Horizon
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Deadline 1 Dec 2025 - 00:00 (UTC) Type of Contract Other Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position
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Applicants are invited to apply for one Marie Skłodowska-Curie Doctoral Network Researcher position in project EXPLORA: Perception of materials, objects and spaces through active EXPLORAtion Research
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to fundamentally revisit the way that we define and quantify the value of our built environment. This fully funded PhD project is part of a Marie Sklodowska Curie Action Doctoral Network, QuiVal, a programme funded