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integrity. Use relevant software tools and methods as required. Assist in conducting literature searches and synthesizing research articles, reports, and other scholarly materials relevant to the research
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simulation models of existing test structure geometries to enable simulation and optimization for specific PIC platforms Investigate methods to optimize test structure designs for more robust determination of
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-Intensive Engineering and Science (part of the new Data Science and AI center), and at the National Radio Astronomy Observatory. Required qualifications are: PhD in Astronomy, Astrophysics, Physics, or a
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of methods and tools to advance HIV and implementation science to address the health and rights of key populations; and will have an interest in leading analyses and publications. Specific Duties
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path to improved human well-being and flourishing, and not catastrophe? Existing approaches to alignment, such as RLHF, constitutional AI and social choice methods, focus on eliciting human preferences
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machine learning models with respect to accuracy and uncertainty quantification. - Developing software to implement the goals stated above (most likely in Python). - Disseminating results
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Internal Number: 118315-en_US The Department of Epidemiology is seeking to hire a casual Research Assistant to work under the direct management of Avonne Connor, PhD, MPH. The position will require
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in experiments or fieldwork. Organize and manage research data, including data entry, coding, and maintaining data integrity. Use relevant software tools and methods as required. Assist in conducting
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formula. Preferred Qualifications Familiarity with Python, R and MATLAB. Experience with machine learning/deep learning. Master’s degree in a related field. PhD or near to completion of a PhD (or equivalent
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optical interferometer for broadband axion-like particle detection. The applicant will be expected to work closely with graduate and undergraduate students. Applicants should have a PhD in physics prior