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, privacy, and security. Activities often address applications in wide-ranging areas, including biology, robotics, cyber & physical security, economics, voting, engineering, ecology, sociology, epidemiology
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focused on wellness and recovery. Testing technology or mobile health applications of evidence-based treatments. Studying implementation and dissemination of evidence-based treatments in the community
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discipline expertise and computational areas, such as data science, artificial intelligence (AI), machine learning (ML), generative AI and other technology innovations. Key details of this position include
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experimental research on structural and functional characterization of Hybrid-Two-Component Systems (HTCSs) in Bacteroides. Uses molecular biology and molecular genetic techniques to engineer plasmids
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Posting Open Date Posting Close Date Qualifications Minimum Education and Experience The candidate should hold a PhD degree in Computer Science, Information Systems, Computer Engineering, or a related field
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, Electrical/Computer Engineering, or a related field by the start date, with a strong publication record in computer vision, multimodal learning, or vision–language models. We require hands-on expertise with
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regardless of their race, creed, color, national origin, age, ancestry, nationality, marital or domestic partnership or civil union status, sex, pregnancy, gender identity or expression, disability status
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% research time freely to develop independent interests aligned with lab’s research topics including Arginylation, Cell Engineering, Chemical Proteomics, Degrader Development, Drug Discovery, Proteomics, PTMs