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EECS department, is affiliated with the Berkeley AI Research Lab, Computational Precision Health, and the Center for Human-Compatible AI. We develop AI methods for applications in the health and social
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: environmental and Earth science, energy systems and engineering, and mixed-method social science approaches to natural resources. We welcome applications from scholars who also have a capacity for
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pathologies-including amyloid, tau, neurodegeneration, and cognition-and describing the heterogeneity in these relationships across individuals and disease stages using novel ML/AI methods. The Assistant
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employ state-of-the art sequencing methods to profile somatic mutations across different primate species. There is a particular focus on structural variation and employing long-read sequencing methods
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contaminants using advanced mixtures and machine learning techniques; applying targeted and innovative non-targeted analysis methods to detect and characterize the presence of novel hazardous substances in
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Staller is a member of Center for Computational Biology (CCB) and a Chan Zuckerberg BioHub - San Francisco Investigator. The lab takes a genomics approach to biochemistry to study transcription factor
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, and state-of-the-art AI methods. Work with petabyte-scale light sheet datasets that are typically 4D or 5D (x,y,z,t,chemistry). Identify and implement scalable solutions to scientific questions on large
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. Innovations in Screening and Computational Approaches: High-content and computational (AI/ML) methods to access expanded chemical space, including DNA-encoded libraries and mRNA display technologies. Human
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their specific area of expertise and inquiry in architectural design. Service to the department, college, university, profession, and broader community is an essential component of the appointment. In
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Mathematics Secondary Science Secondary History/Social Science Anticipated positions include Lecturers who will teach courses focused on: Secondary Science Methods Secondary English Methods Supporting