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also have a track record in post-secondary teaching. The position may be awarded as a postdoctoral fellowship to a researcher who has finished their PhD, or to an individual outside the academic
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or translational research experience Knowledge of machine learning, Bayesian modeling, or statistical method development Ideal Personal Attributes: Independent, proactive, and scientifically curious Detail-oriented
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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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, 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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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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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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, collaborate effectively, and communicate clearly will set you apart. PhD and postdoctoral experience in cancer research or a related field. Track record of publications, grant success, and presentations
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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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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