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-intensive physics with nuclear/particle aspects, advanced detector R&D, machine learning and AI and emerging computational methods in quantum computing. The position is intended for an excellent and broadly
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advanced data science methods, including statistical modeling and machine learning approaches Developing and applying novel causal inference methods, such as target trial emulation and causal AI frameworks
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on Aging (NIA) and includes an experience sampling methodology (ESM) study of daily cognition and social interactions in older adults, as well as multi-method data collected from the Minnesota Twin Registry
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, dry/wet etching, metal deposition). Background in low-temperature transport measurements or optical characterization of materials and devices. Appointment Details: Start Date: Flexible. Initial
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psychological research methods including experiments and modeling of cognitive processes involving AI Substantive research interests related to AI and human decision making/risk We are looking for an individual
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. Expertise in qualitative, quantitative and/or mixed-methods research. Skills in developing AI platforms, agents, or other tools for use in education contexts. Salary $60,000 annual Background Check A
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simulation models used in rare-event searches, develop machine learning methods for background rejection, and place constraints on new physics using LZ datasets. In addition, the postdoc will lead the
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, behaviors, tools, and methods employed in the innovative activity of individuals and organizations to drive desirable outcomes from inspiration to impact. Learn more about this emerging field and exciting
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extensive epigenetic, genetic, and phenotypic data, applying cutting-edge analytic methods to uncover the biological underpinnings of mental health. You will contribute significantly to the Dunn Lab’s
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Reviews Methods Primers. Her research has been recognized with numerous honors, including the NSF Graduate Research Fellowship, Brody Family Postdoctoral Fellowship, and WMIC WIMIN Scholar Awards. She has