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prepare technical reports. Collaborate with team members and support mentoring of students. Ensure timely completion of project milestones and deliverables. Job Requirements: PhD degree in Computer
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Alpes University Hospital (CHUGA). The role involves a significant amount of computer-based work. Participation in certain patient recording sessions may be required, subject to clinical constraints
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and high‑order finite‑element software. Position details 35‑hour work week, computer workstation at LJAD, remote work possible. Université Côte d'Azur is located on the French Riviera. It is one
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simulation and real-world robotic systems. Job Requirements: Preferably PhD in Computer Engineering, Computer Science, Electronics Engineering or equivalent. Independent, highly analytical, proactive and a
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publications in medical image analysis or computer vision video analysis. Knowledge of ultrasound imaging is not a requirement but an interest in research at the interface of machine learning with real-world
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: Holders of a Master's degree in Computer Engineering or a related field and enrolled in a PhD programme in Computer Engineering or a related field. [registration is not mandatory during the application
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of a Master's degree in Computer Engineering or a related field and enrolled in a PhD programme in Computer Engineering or a related field. [registration is not mandatory during the application phase
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will work closely with the Principal Investigator (PI), Co-PI, and the research team to develop deep learning-based computer vision algorithms and software for object detection, classification, and
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or computer vision with a video focus, and ideally have prior experience of working with echocardiography or fetal echocardiography or related experience on real-world video analysis Informal enquiries may be
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Post-Doctoral Associate in the Center for Interdisciplinary Data Science and Artificial Intelligence
); Relevant research experience in at least one of the following: Social Robotics, human-robot interaction, human-computer interaction, Machine Learning, Affective Computing, Social Signal Processing, Computer