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to cutting-edge research on spatial reasoning, semantic technologies, and interdisciplinary AI for geosciences and geography. Where to apply Website https://www.academictransfer.com/en/jobs/356998/phd-position
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high quality and robust integration. The PhD is situated in the Intelligent Data Engineering Lab and will be supervised by Dr. Jan-Christoph Kalo and Prof. Paul Groth. What you will do Your tasks and
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driving systems, and new methods for fusing sound with other sensor data for more robust environment perception through deep learning. We offer a fully-funded 4-year PhD position at the Intelligent Vehicles
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performance improvements as conventional scaling approaches its physical limits. This research is essential for future computing, artificial intelligence, and sensor technologies that will shape our digital
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motivated candidate eager to work at the intersection of cybersecurity, software engineering, and artificial intelligence. About the project Vulnerabilities in software products continue to be a major
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researchers from TU Delft and Meta Platforms as a PhD student in the newly established FUSE Lab! Job description As generative artificial intelligence is transforming the daily work of software engineers, TU
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at the Radboudumc, Radboud University and Donders Graduate School. finalize the project with a PhD thesis. Where to apply Website https://www.academictransfer.com/en/jobs/356184/phd-candidate-digital-biomarker
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researchers from TU Delft and Meta Platforms as a PhD student in the newly established FUSE Lab! Job description As generative artificial intelligence is transforming the daily work of software engineers, TU
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, Artificial Intelligence, or a related field. Proficiency in the English language (https://www.tudelft.nl/onderwijs/opleidingen/phd/admission ) Additional requirements: Research focus, characterized by
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degree in Computer Science, Software Engineering, Artificial Intelligence, or a related field. Proficiency in the English language (https://www.tudelft.nl/onderwijs/opleidingen/phd/admission ) Additional