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focus primarily on computational modelling of infant behaviour and experience, using approaches from machine learning, unsupervised learning, dynamical systems, information theory, or related quantitative
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analysis, or assistive technology; Experience in applying AI methods such as machine learning, deep learning, computer vision, multimodal data analysis and large language models (LLM) in health-related
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data acquired by mobile road monitoring systems using heterogeneous sensors, such as images, laser profilometers, GPS, and audio data, will integrate machine learning, computer vision, and image analysis
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and computer scientists from both Nottingham Trent University (NTU) and the University of Nottingham (UoN). The successful candidate will contribute to a work package focused on the development of a
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Engineering, Computer Engineering, Information Systems, or a related discipline, or an equivalent combination of education and professional experience. Five or more years of professional software engineering
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, encapsulation, conformal coatings, and related manufacturing processes. Experience supporting prototype development, engineering integration efforts, and pre-production builds. Familiarity with inventory control
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multiple projects, meet deadlines, and adapt to evolving research priorities. Preferred Qualifications Research experience in medical image analysis, computer vision, multimodal learning, or longitudinal
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Current Employees: If you are a current Staff, Faculty or Temporary employee at the University of Miami, please click here to log in to Workday to use the internal application process. To learn how
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Advance the theoretical foundations of machine learning, publish in premier venues and help shape the next generation of AI research. · Annual salary package: $104,481 (ACA Level A.4) - $112,550
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surveys and subsequent development and implementation of artificial intelligence and machine learning analytical pipelines to efficiently process resulting datasets to estimate indices of fish abundance