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software engineering practices. Desirable Skills: knowledge of computer vision, Bayesian theory, or signal processing; experience with prototyping, experimentation, or technical evaluation of interactive
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generation to build tools that will shape the future of home-based rehabilitation monitoring. You bring: A PhD in Biomechanical Engineering, Biomedical Engineering, Computer Vision, Robotics, or a related
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investigate new insights across disciplines, including sociology, political science, computational social science, and data science; You will contribute to the theoretical development of the concept
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linked to its research areas ranging across Chemical Biology, Biosensing, Biomaterials, Biomechanics, Tissue Engineering, Computational Biology, Biomedical Imaging and Modelling, with 800+ students and 200
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, transitions of control, driver awareness, and the communication of system capabilities and limitations. The project brings together expertise from human-computer interaction, AI, human factors, cognitive
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Engineering, Biomedical Engineering, Computer Vision, Robotics, or a related discipline. A strong curiosity for human movement analysis and markerless motion capture. Experience with pose estimation, computer
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technology. The assessment is based on information provided by the candidates themselves, such as their motivation letter and CV, and takes place at the final stages of the selection process. When the outcome
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identify those with the highest potential for early adoption in space engineering; translate theoretical advances into algorithmic innovations, design principles and prototype tools that can be integrated
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Programme (NAVISP), the General Support Technology Programme (GSTP) and InCubed. We actively explore multidisciplinary application areas, focusing on innovative concepts, cutting-edge technologies and
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with Python, ImageJ, and/or MATLAB is highly beneficial for image processing and data analysis. Communication: Excellent written and spoken communication skills in English are essential for effective