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(e.g., doer–checker architectures), explaining recommendations to operators, and remaining robust to sensor faults, distribution shifts and previously unseen operating conditions. Applications will
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Predictive maintenance, sensor systems, multimodal monitoring AI/ML for robotics, perception, prediction Computer vision and data acquisition System modelling and control SENIOR RESEARCHER / LABORATORY
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Delft University of Technology (TU Delft) | Delft, Provincie Zuid-Holland | Netherlands | 20 days ago
vision, for the characterisation and classification of aluminium scraps and contaminants. Design and validate algorithms for multi-sensor data interpretation and sensor fusion. Conduct laboratory
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prescriptive maintenance system for Genie’s lifting equipment. The project focuses on connected, partially connected, and non-connected machines, transforming telematics, onboard sensor data, and historical
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Horizon Europe Marie Skłodowska‑Curie Actions (MSCA) Doctoral Network ‘ENDURE’ on Enabling Scaled Production of Durable Natural Fibre Components coordinated by the Technical University of Denmark. See
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Marie Sklodowska-Curie Actions Doctoral Network BlueOcean Employer UNIVERSITY OF SOUTHAMPTON Location Southampton, United Kingdom Salary £43,994 to £47,279 Per annum, subject to bi-annual review due
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. With state-of-the-art museum collections and lab facilities, many inspiring colleagues, and access to our international network, Naturalis offers everything you need to strengthen your career as a
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the project ● Pursue creative opportunities and ideas to improve and expand programs and initiatives ● Provide basic support to research activities associated with the air sensor network and act as a
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comparable to sensor noise? How can full-field uncertainty be modelled and propagated to support large-scale change analysis? Approach: You will combine advanced robotic localisation and high-resolution
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mechanical equipment to digital systems, as well as assuring continuous data retrieval have experience with a wide range of sensor technologies and how to develop and program environmental sensor networks