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study programme. Find more information in: Conditions of the admission procedure for doctoral study programmes at the Faculty of Science, Charles University, for study programmes starting in the winter
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both independently and as part of an international, interdisciplinary team Assets•Experience with computer vision or deep learning (e.g. PyTorch, TensorFlow)•Familiarity with street view imagery or other
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LevelPhD or equivalent Skills/Qualifications - Hold a PhD degree in Communication Sciences and related fields. - Proven experience in immersive audiovisual content production processes - Proven experience in
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Computer Science, Electrical/Electronics Engineering, Data Science, Cyber-Physical Systems, or a closely related discipline. Machine Learning & Data Processing: You have solid experience developing and applying
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of student projects and participation in courses related to human-computer interaction and software engineering. Your competencies Applicants should have a strong interest in human-robot interaction and the
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: civil engineering, transport engineering, computer science, intelligent transport systems, and transport, with an affinity for health, or biomedical engineering or related health degree and an affinity
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! Faculty of Electrical Engineering, Mathematics and Computer Science The Faculty of Electrical Engineering, Mathematics and Computer Science (EEMCS) brings together three scientific disciplines. Combined
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the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description At the Faculty of Engineering and Science, AAU
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Netherlands Type of Contract Temporary Job Status Not Applicable Hours Per Week 38.0 Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff