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Field
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algorithm-driven sensing systems, remote sensing and multi-modal sensor integration Applicants do not need to cover all areas listed above but should bring strong expertise in at least one and a broad
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settings. Develop and test algorithms for object detection, tracking, and classification using LiDAR sensors. Help guide and mentor graduate students and other junior team members working on the project
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, including Computational Fluid Dynamics (CFD) for thermal analysis and energy simulation for consumption modelling. Design, train, and implement advanced machine learning and deep learning algorithms
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to surveillance of infectious pathogens using computer science and mathematics? Join the Delft Bioinformatics Lab and work on graph-based algorithms for microbial genomics! Job description Bacterial and viral
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integrating visual data with spatial sensors like RGBD and LiDAR. This Research Engineer (Research Technician 2) role offers the opportunity to work across the full stack of data collection, model training
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including clinical, algorithm, and mechanical engineering to define system requirements, sensor specifications, and patient interaction protocols. • Develop custom control and data processing software in
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evaluation of algorithms for: perception in robotics; sensor based control and navigation ; interactive mobile manipulation; multi-sensor data modelling and fusion. This job offer takes place within
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Requisition Id 15490 Overview: The Multimodal Sensor Analytics group in the Electrification and Energy Infrastructure Division (EEID) is seeking a postdoctoral researcher with proven expertise in
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programming (Python, MATLAB), neural networks, deep learning or physiological signal analysis. - Minimum of 2 years of accredited professional or research experience in tasks directly related to: AI algorithm
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to pioneering research in the field of robotics. Key Responsibilities: Design, implement, and test robust software for robot localization, mapping, and navigation. Develop and refine algorithms for sensor fusion