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help unlock the data needed for the energy transition? In the NWO-funded SHARE project, you will develop AI models that generate realistic, privacy-preserving synthetic energy data for grid planning
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Vacancies Doctoral Candidate Spatial statistics for integrating IoT field sensor data and remote sensing data for nature-inclusive solutions in tree crop diseases To vacancy overview Apply now ITC
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. The project brings together expertise in artificial intelligence, computer vision, human-computer interaction, and psychology. Its technical core lies in developing robust and adaptive visual speech
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electrical engineering, computer science or a closely related field. A solid foundation in computer vision, pattern recognition, AI-related techniques. Hands-on interest in designing methods using
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development vision and the ESA Vision 2040. To this end, the Department has defined strategic roadmaps for key technologies aimed at developing key capabilities in line with the strategic vision. To
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analog and Radio Frequency (RF) Integrated Circuits (IC). The group's motto is “fundamental solutions for practical problems” and under this vision, it has contributed many fundamental new ideas in
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the four impact domains outlined in the UT institutional plan 2026-2032 . These impact domains encompass Health (TechMed institute), Chiptech (MESA+ institute), Climate (Climate Center), and Safety
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use of satellite data. You will work in a multidisciplinary environment connecting law with Earth Observation, artificial intelligence and computer science. Your duties conduct independent doctoral
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Computer science Job types PhD Education level University graduate Weekly hours 38 hours per week Salary indication €3059—€3881 per month Location De Boelelaan 1111, 1081HV, Amsterdam View on Google
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. More specifically, you will work on an open, explainable, and GeoAI-supported framework for the temporal integration of Earth system models with observational data from our spatially distributed