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of the North Sea—has undergone severe ecological degradation due to long term prioritisation of economic activities. Centuries of intensive fishing, heavy shipping traffic, and more recent oil and gas extraction
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developed at TU Delft, which can detect life signs in outer space, enable autonomous navigation and space traffic management and monitor in real-time space weather. These instruments provide challenging
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. Experience working in a fast-paced environment. Lab environment. Lifting to 25lbs. Work Environment: Open office environment. Moderate noise and foot traffic. Rutgers University is an equal opportunity
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of singularities, optimal control, and applications to macroscopic models of traffic flow. Teaching may be required. Education and Experience: Applicants must have recently completed a Ph.D. and have exceptional
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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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traffic-related emissions and associated atmospheric chemistry responses). Locally co-developed interventions (e.g., low-emission zones, active transport, and urban infrastructure changes). Compile
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, 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: Design and train vision–text
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, tracking, spatio-temporal modeling, edge learning) using field data (traffic cameras, micromobility telemetry, connected vehicle/V2X, crash records, GIS). · Manage and coordinate pilot deployments
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members. Participate in traffic scenario generation project and pedestrian modeling project. Develop sophisticated AI-driven algorithms that create realistic, safety-critical test scenarios for autonomous