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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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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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models, frameworks, and methods to confront complexity underlying persistent societal challenges affecting the well-being of people and the planet. This position represents a unique opportunity to
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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
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substitute for formal training in these fields. Background in neuroscience, psychology, cognitive science, or a related field. Basic knowledge of lab protocols. Ability to work independently as well as part of
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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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field. Extensive experience collecting human subjects' data, or extensive experience in data analysis, may substitute for formal training in these fields. Prior experience collecting human subjects' data
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: A PhD degree in business, computer science, informatics, social sciences (preferably sociology, psychology, or economics), public health or a related field is required and must be conferred by
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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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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