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conferences, and through journal publications. Desirable Knowledge or experience in Artificial Intelligence or hydrodynamics. Experience in teaching. How to apply If you have any questions, contact
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) in computer science, artificial intelligence, data science, applied mathematics, physics, electrical engineering, or a related field. You have a solid background in machine learning; experience with
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around digital technologies for orientation and mobility and particularly the role of Artificial Intelligence in such systems. Undertaking this PhD as part of a larger project has several advantages. First
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conditions:•Master's degree in Bioinformatics, Computer Science, Artificial Intelligence, Bioscience Engineering or a related field, obtained by the start date of the contract.•Applicants must be doctoral
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. The program addresses research on artificial intelligence and autonomous systems acting in collaboration with humans, adapting to their environment through sensors, information and knowledge, and forming
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PhD Position Simulating the Airspace of the Future: Fleet & Network Optimization for Future Aircraft
into concrete solutions for the challenges of today and tomorrow. These challenges are changing rapidly. That is why we focus on themes such as energy, climate, digitalisation, artificial intelligence (AI), and
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integrating multiomics data from patient biopsies, cerebrospinal fluid (CSF), blood samples, and patient-derived xenograft (PDX) models. By combining these datasets with advanced artificial intelligence
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the prevention, prediction, and treatment of diabetes through artificial intelligence, computational biology, and precision medicine. The successful candidate will contribute to the development and application
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PhD Position Simulating the Airspace of the Future: Fleet & Network Optimization for Future Aircraft
on themes such as energy, climate, digitalisation, artificial intelligence (AI), and smart mobility every day. Our education and research are directly aligned with what society needs now and in the future
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date) in computer science, artificial intelligence, data science, applied mathematics, physics, electrical engineering, or a related field. You have a solid background in machine learning; experience