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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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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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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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to the Netherlands for a PhD within a joint doctoral network? If so, we invite you to apply for this PhD position. We are seeking a PhD candidate for the joint doctoral training programme on Privacy for Smart Speech
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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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Per Week 40.0 Is the job 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 Join
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independently, and brings creativity and vision to their work; has excellent project management and organization skills. Knowledge in areas that are relevant to the PhD project (e.g., digitalization, energy
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funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Several PhD positions on quantum photonics at QuTech. Job description Are you motivated
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, and computer vision for high-tech greenhouses. The goal of the LEAP-AI project is to collaborate with this team to design the next generation of autonomous greenhouse control systems and will culminate
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science, engineering, physics, mathematics or a similar domain. There is a strong preference for an applicant with a biomedical background. Experience with medical image processing, histopathology, computer vision