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Network (GNN) architectures for modeling relational dependencies among VRUs and improving trajectory prediction accuracy. Development Collaborate with interdisciplinary teams to design and implement
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models for VRU detection and safety assessment. - Assist in programming tasks using Python and relevant deep learning packages. - Contribute to the development of Graph Neural Network (GNN) architectures
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for the Kiriyama Postdoctoral Fellowship. The term of the appointment is for 10 months during the 2024-2025 academic year. The Kiriyama Postdoctoral Fellowship is intended to promote the career of a recent PhD by
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Riggs researching key areas including but not limited to: 1) tech/data science/engineering, 2) transport / travel behavior / transit and 3) policy / economics / marketing. The Fellow will work with
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Research Assistant in Energy Systems Management program (Low Carbon Energy Systems research program)
level background in energy science, technology, economics, and policy required. The research assistant will compare the rates of change in technology and infrastructure required for a rapid low carbon
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a rocky road: it requires the software engineers to reason about memory with care. We are seeking to make this transition smoother by building tools that help software engineers. We have been
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. In this research project, you will also gain experience with state-of-the-art software engineering methods such as automated test generation, and tools that analyze other programs’ behavior as they run
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underrepresented racial and ethnic groups in the U.S. professoriate, by providing an opportunity for final-year doctoral candidates and newly-graduated PhDs to gain teaching experience and advance their research
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be guided through the research work by the supervisors. This project has direct connection with the fields of environmental chemistry, and environmental engineering and management. The RA will be