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, Robotics, Physics, Applied Mathematics, or a closely related field; a strong publication record at leading venues in machine learning, computer vision, robotics or scientific ML; demonstrated expertise in
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environments, spectral sensing in the visible and near-infrared (NIR) range to estimate sugar and starch content, chlorophyll levels, and plant water status, AI-based computer vision systems to monitor crop
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environments, spectral sensing in the visible and near-infrared (NIR) range to estimate sugar and starch content, chlorophyll levels, and plant water status, AI-based computer vision systems to monitor crop
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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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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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upscaling tests. A robotic platform developed within the consortium will support rapid optimisation of curing conditions. Waterborne coatings pose additional challenges due to the necessity to work with
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waterborne (Leiden University, this vacature) coatings will be studied in this project, including upscaling tests. A robotic platform developed within the consortium will support rapid optimisation of curing