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of flourishing within higher education. Candidates must have research interests in well-being, and a PhD in the empirical social or biomedical sciences. Preference will be given to candidates with research
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launch of a new Opportunity Evaluation and Markets Initiative that uses newly developed big data matching methods to systematically evaluate social programs and scale successful programs. This is a rapidly
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is currently building and commissioning a network of calibrated multi-sensor observatory-class systems, and developing novel machine learning methods with the aim of collecting science-quality data
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work closely with the Center’s Chief Assessment Scientist on developing and implementing evaluation methods, including survey design, data management, and statistical analysis. They will also be
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Expected Start Date: July – Sep 2025 Basic Qualifications A PhD in Bioengineering, Biomedical Engineering, Electrical Engineering, Mechanical Engineering, and/or Neuroscience Extensive experience with
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required. Experience in large-scale quantitative research and experimental methods is preferred. Additional Qualifications: PhD, MBA, JD, etc. degree preferred. Experience managing others and successfully
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contribute to technical deliverables and help to plan for technology translation. Basic Qualifications PhD in engineering, biomechanics, or a related field. Additional Qualifications Interest in
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regimes of deep networks. Basic Qualifications: A PhD is required. We seek candidates with strong analytical and numerical skills, and backgrounds in physics, theoretical neuroscience, applied mathematics
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); including intellectual objectives and planned methodological and disciplinary work One scholarly writing sample (e.g., PhD dissertation chapter or single-authored peer-reviewed academic journal article; fifty
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particularly mechanisms of asthma. Past work has focused on discovering new cell types in the lungs (Nature, 2018), single-cell genomics of the small intestine (Nature, 2017), and using single-cell methods