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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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Several PhD positions (f/m/d) in International Research Training Group (iRTG) limits2vision Full PhD
Description Offer Description PhD student positions will become available in the Institute for Ophthalmic Research (IOR) at the University of Tübingen (Germany) and the Institut de la Vision (IDV
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Topics and bibliography Topic: Artificial Intelligence, Deep Learning, Computer Vision For further details, please contact us at the e-mail address vlad.hondru@fmi.unibuc.ro , contact person: Asist. Drd
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protocols, ITC will focus on the monitoring and response parts, building on many earlier projects revolving around the use of UAV/drones, computer vision and machine learning, change and damage detection, and
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on the monitoring and response parts, building on many earlier projects revolving around the use of UAV/drones, computer vision and machine learning, change and damage detection, and multi-data integration, such as
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the Future 5G/6G Deployments with Millimeter Wave Integrated Circuit Interfaces Generated by Deep Computer Vision. This project is funded by FCT/MECI through national funds and when applicable co-funded EU
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learning, knowledge exchange, and joint knowledge creation. During these stays, 100% of the time of the PhD is dedicated to the research program. As part of NGinfra, the PhD candidate will also have ample
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Research Framework Programme? Horizon 2020 Reference Number BAP-2025-589 Is the Job related to staff position within a Research Infrastructure? No Offer Description The PhD researcher will: Carry out
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Application Deadline 20 Oct 2025 - 23:59 (Europe/Rome) Type of Contract Temporary Job Status Full-time Offer Starting Date 1 Dec 2025 Is the job funded through the EU Research Framework Programme? Not funded by
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requirements for doctoral studies, you must: hold a Master’s (second-cycle) degree in engineering physics, electrical engineering, machine learning, data science, computer vision, computer science, applied