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REQUIREMENTS The Eberly College of Science, Department of Biology, is looking to hire Learning Assistants (LA) to provide support to Biology courses overseen by Teaching Faculty during the 2025-2026 academic
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are seeking highly motivated Data Science/Machine Learning Research and Development Engineers to join our Computational Intelligence and Visualization Application Department of the Applied Research Laboratory
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& Development Conduct applied research on generative AI, machine learning, and related techniques to identify opportunities for asset-development and instructional applications. Design, develop, and implement AI
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traditional and distance learning modes, to higher education and workforce training, including appropriate applied baccalaureate degrees, in our service area. As a community college committed to our mission, we
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accelerated AI, machine learning, and robotics algorithms with a strong focus on computational efficiency, memory reduction, and energy-aware deployment. The role targets foundation models, including large
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disorder. This project investigates early neural markers of psychosis by integrating multimodal neuroimaging with genetic and transcriptomic data and applying machine-learning approaches to identify
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identification framework. The role involves developing a species-agnostic computational pipeline that integrates cutting-edge deep learning methods - such as AlphaFold2 and FoldSeek -to enhance protein function
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/). Machine Learning plays a core role in the Future on AI and Data Analytics. UCC now wishes to appoint a Professor/Chair of Machine Learning to strengthen its Futures in AI and Data Analytics. The new
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About the role: We are seeking a senior learning designer or experienced educator with relevant experience to work on the design, development, and delivery of a new MSci blended on-campus programme
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training datasets; Design and carry out laboratory experiments to produce representative experimental training data; Develop physics-informed machine learning algorithms, trained on both numerical