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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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computing-in-memory architectures, neuromorphic computing, hardware security, and energy-efficient computer systems. The candidate will become part of the QuNeCo project, an ambitious collaboration
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this project is to use formal methods to develop a systematic way to describe concurrent cryptographic protocols and to reason about their security. If this sounds interesting to you, please apply at
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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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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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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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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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explored during the later stages of the selection process. Applicants should have completed, or be in their final year of a university or graduate degree in robotics or computer science, mechatronics
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Vacancy ID 2026/499 Apply now 30 days remaining Save Get personalised job matches! Create an account in 2 minutes! Research fields Engineering; Computer science Job types PhD Education level University
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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