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Department BSD MED - Center for Health and the Social Sciences - Methods Core About the Department The Center for Health and the Social Sciences (CHeSS) provides the infrastructure to advance in
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Secondary Education Program seeks applicants with expertise and experience in the following areas: Middle Grades and Secondary Education Generalist Middle Grades and Secondary English Language Arts Methods
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Two-year postdoc position (M/F) in signal processing and Monte Carlo methods applied to epidemiology
and data-driven procedures for pointwise and/or credibility interval estimation of epidemiological indicators, e.g., for the reproduction number R(t) of Covid19. Elaborating on a recent epidemiological
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done and has it had so much impact on academic scholarship, on government policymaking, and on business decision making. SIESR is committed to advancing the methods, credibility and understanding
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Details Posted: Unknown Location: Salary: Summary: Summary here. Details Posted: 17-Dec-25 Location: Rocklin, California Type: Full-time Categories: Academic/Faculty Computer/Information Sciences
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preference Specialized interest in translating the methods, impacts, and wider applications of scientific research for a wide variety of public audiences to interest, engage, and garner support in
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: Developing adaptive haptic training strategies that help operators refine their skills through real-time skill estimation, multimodal feedback, and tailored trajectory guidance. Enhancing Robot Autonomy
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and Abilities * Advanced knowledge and understanding of engineering principles, methods, and techniques within a broad specialty area. * Advanced knowledge and understanding of building HVAC systems and
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Division and/or Department. Considerable training may occur on the job. Student Assistant I – Entry level/Semi-skilled: Work is under immediate supervision (methods of performing tasks are well established
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diagnosis for and treating genetic cardiomyopathies. We develop high throughput genome engineering methods in induced pluripotent stem cells and devise new methods for scaled phenotyping. We are also