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to apply it in selected poor-resource settings. This project aims to achieve several objectives, including the development of a new AI-algorithm and a paired dataset for comparing how different imaging
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to work on projects in the modeling of representative democracy. The primary role of these Research Associates will be to anchor multiple research projects in electoral systems (such as ranked choice
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to educational excellence and developing and sustaining premier research programs with national and international recognition. The Department invites applications for multiple non-tenure track positions as an
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-disciplinary scientists who can use multiple tools and approaches with a desire to advance science at the intersection of management, genetics, and the environment. Research impacts should include improved
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slicing. - Develop advanced AI/ML algorithms and data analytics techniques to automate and optimise exposure requests, adapted to available resources and real-time demand. - Propose and
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research in computational biology, single-cell ‘omics-based and multimodal machine learning (ML), and, for the candidate with appropriate skills, quantum computing algorithms and software for applications in
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scientists who can use multiple tools and approaches with a desire to advance science at the intersection of management, genetics, and the environment. Research impacts should include improved decision making
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to achieve the following objectives: 1. Characterize 3-D Urban Structure and Change: Utilize data from multiple remote-sensing platforms and deep learning algorithms to generate high-resolution maps of 3-D
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, algorithms and data structures. Candidates will collaborate with department peers to design, review and maintain the general computer science curriculum. Don't have teaching experience - that's where we
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require expertise in both database design and complex statistical methods and algorithms. Expected projects will include design of research and operational databases and statistical analyses, and