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simulation environments (e.g., CARLA). • Domain knowledge in ITS, traffic engineering, autonomous vehicles, robotics, or related areas. • Experience using cloud platforms for training and deploying AI models
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to the Planning, Traffic and Safety Unit, in line with its main R&D objectives, namely: in research and technological development studies, particularly in the analysis of accidents on interurban roads, in the study
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earth sciences, traffic and transport, water technology, and delta technology. Our research feeds into our educational programmes and covers societal challenges such as climate change, energy transition
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, talking, and hearing. Experience working in a fast-paced environment. Lifting to 25lbs. Work Environment: Open office environment and lab environment. Moderate noise and foot traffic. Special Conditions
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of multimodal transportation systems. Particular attention is paid to new vehicle technologies and data sources; as well as the combination of traditional traffic flow theory concepts with new empirically derived
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control) using real operator-grade datasets (traffic indicators, network KPI's, configuration logs and energy measurements when available). • Investigating and combining multiple energy-saving levers (e.g
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+ thermal wound images, intraoperative video, OR traffic signals, EHR data, and patient/surgeon surveys with explainability and equity at its core. Among the key duties of this position are the following
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to combined hazards such as traffic loading and soil settlement. A detailed understanding of their fracture behaviour is essential for ensuring long-term safety and guiding preservation strategies. In
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environment. Lifting to 25lbs. Work Environment: Open office environment. Moderate noise and foot traffic. Rutgers University is an equal opportunity employer committed to creating a diverse, cooperative work
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