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Biomedical Equipment Green and Sustainable Manufacturing SMMG encompasses highly adaptive and agile computer-integrated manufacturing technologies. We are dedicated to exploring relevant new theories
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the PhD programme of Aalborg University. The project is conducted under the supervision of Reza Tadayoni, Associate Professor at Aalborg University, and Helle Sjøvaag, Professor at the University
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or tablet). Persons with disabilities may be able to perform the essential duties of this position with reasonable accommodation. Requests for reasonable accommodation will be evaluated
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. Fixed time job. The Institute of Physics of the UJK Kielce looks for a computer engineer/scientist having PhD with habilitation in IT related disciplines and well documented scientific achievements
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looking to appoint a Reader in Computer Vision Education. This is an exciting time to join us as we continue to grow our department and realise our vision of a diverse, inclusive and innovative department
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mathematics, data and computer sciences, and biomedical engineering. The PhD candidate will be based at the Department of Mathematics & Statistics (https://www.reading.ac.uk/maths-and-stats/), which has a long
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4 Nov 2025 Job Information Organisation/Company The University of Manchester Department Computer Science Research Field Computer science » Computer systems Researcher Profile First Stage Researcher
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Associação do Instituto Superior Técnico para a Investigação e Desenvolvimento _IST-ID | Portugal | 21 days ago
will develop computer vision, machine learning and control algorithms for a robot to perform packaging tasks. Human demonstrations will be used to generate data for learning. These data will encompass
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. Individual will develop and test novel computational models of the neural activity generated by electrical stimulation of the brain. Also, perform data analysis utilizing medical imaging data, computer models
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interdisciplinary team of engineers, computer scientists, and life scientists Present your work at international conferences and learn about state-of-the-art methods in machine learning, reinforcement learning and