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, skate, and ray populations around the Island of Ireland. The Role: This Research Fellow post is one that will allow you to play a central role in delivering the objectives of the MOSAIC project, which
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models, multi-object tracking, and post-processing methods to improve traffic video analytics in complex environments. Drive benchmarking, evaluation, and deployment optimisation of AI models, ensuring
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product for transport planning. About the opportunity Lead research and development of advanced computer vision models, multi-object tracking, and post-processing methods to improve traffic video analytics
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successful candidates will dedicate their efforts to the following specific research objectives: (1) Developing models for predicting the thermal runaway (TR), venting, and jet fire in a single cell with
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to engage with multidisciplinary teams and external partners. Desirable attributes include experience with spatio-temporal models, machine learning, Bayesian methods, and knowledge of environmental exposure
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distributions and characteristics at high spatial resolution. We are looking for an experienced, self-motivated, and dynamic researcher with a track-record working and publishing in the field of evidence-informed
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transferring learning from other geographic regions and data types, machine learning methods, Bayesian inference and interrogation theory. The post may involve travel to Iceland and Italy in support of your work
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of the SGFIN team to support SGFIN’s activities and objectives Requirements Academic background in the following subjects is preferred: finance, economics, accounting, business, strategy, or related disciplines
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, mentor, and supervise research analysts and associates on the project team Work closely with the rest of the SGFIN team to support SGFIN’s activities and objectives Requirements Academic background in
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assigned actions and follow-ups and project status reporting. Coordinate, plan and complete marine research activities within the framework of agreed project timelines and responsibilities. Monitor, track