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About the Opportunity Job Summary Community-Engaged Teaching and Research (CETR) is a part of Educational Innovation in the Office of the Chancellor and promotes ethical experiential learning
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an accomplished cultural leader with significant experience in gallery leadership, curatorial practice or the broader creative industries, and a deep understanding of contemporary art and design. The successful
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Assist in developing AI-based computational tools for analyzing biological images. Help implement machine learning, deep learning, computer vision, and image processing algorithms. Work closely with
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deep learning, and its extensions for these additional targets. In particular, we have a large collection of newspaper articles dealing with migration-related topics, and we are investigating how text
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about building a positive environment to grow and groom future business leaders. And we are looking to add to our BIZ family! To learn more about the NUS Business School, please visit https
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through experiential learning: Applied Integrated Research (AIR) pairs student teams with external client organizations to investigate and solve current business challenges. Teams conduct in-depth primary
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potential. To learn about what employees value at CCRI and what it means to work here, please read about our Guiding Principles and watch videos of our employees doing what they do best: https://www.ccri.edu
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technical trainings as required. Participate in technical meetings, including RVTECH and related planning forums. Travel internationally as needed to learn about, evaluate, and understand technologies and
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deep learning approaches, with a particular interest in developing methods capable of handling scarce or corrupted data, designing methods for specific imaging modalities, or understanding and
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origin, gender, age, marital status, disability, public assistance status, veteran status, sexual orientation, gender identity, or gender expression. To learn more about diversity at the U: http