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Sociology » Sociology of labour Sociology » Sociology of religion Sociology » Urban sociology Sociology » Other Educational sciences » Education Educational sciences » Learning studies Educational sciences
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on the applicants' enrolment in study cycle or non-award courses of Higher Education Institutions. Preference factors: Experience in musical audio machine learning frameworks, advanced knowledge in music theory, and
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are template based and all US measurements are auto-populated into templates for increased accuracy and efficiency. Fourteen fellowship-trained, subspecialized expert faculty perform both image interpretation
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California State University, San Bernardino | San Bernardino, California | United States | about 4 hours ago
, computational, or data-driven approaches—are encouraged to apply. Interest or experience in Artificial Intelligence, Machine Learning, or Big Data Analysis is preferred. Responsibilities include research (85
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. In addition, you must have: a solid foundation in energy technology and a strong understanding of artificial intelligence (AI), machine learning (ML), and data-driven modeling documented experience
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The Atmospheric Chemistry Research Group (ACRG) and School of Engineering Mathematics at the University of Bristol have developed GATES, a graph neural network (GNN) machine learning model that can
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approaches for binarized network models, identifying their strengths, limitations, and applicability within privacy-focused machine learning frameworks. Special attention will be given to evaluating
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(e.g., Docker, Kubernetes, cloud/edge environments). Demonstrated expertise in AI, distributed computing, machine learning, or systems software design. Strong background in software engineering
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The role The Atmospheric Chemistry Research Group (ACRG) and School of Engineering Mathematics at the University of Bristol have developed GATES, a graph neural network (GNN) machine learning model
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the learning needs of diverse audiences create robust simulation cases and courses based on specific learning objectives develop and refine debriefing skills for all levels of learners design and implement