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include (but are not limited to) work on various statistical aspects of data privacy methodology, including validity of inference, measurement error, nonparametric statistics, causal inference, synthetic
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. Approval of remote and hybrid work is not guaranteed regardless of work location. For additional information on remote work at Penn State, see Notice to Out of State Applicants . This is a term position
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and Applications (CCMA). Successful candidates will engage in research in all or any of the areas of scientific computing, data science, and quantum information science. Appointed candidates will
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models to analyze EHR data. The postdoctoral fellow, under the mentorship of Dr. Dajiang Liu (https://dajiangliu.blog ), is expected to work on at least one of these objectives. Requirements: A Ph.D. in
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. Additional Information Applicants must complete the Penn State application and must submit an application through https://www.mathjobs.org/jobs/list/28088 ">Mathjobs.org (mathjobs.org) with the following
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-electron microscopy–based approaches. More information about the laboratory can be found at: https://www.cryo-em.psu.edu/ . The postdoctoral scholar will contribute to ongoing projects to define structural
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. Preference will be given to candidates that are proficient with graph neural networks and other scientific machine learning tools. Additional Information: Applicants must complete the Penn State application
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EHR data. The postdoctoral fellow, under the mentorship of Dr. Dajiang Liu (https://dajiangliu.blog ), is expected to work on at least one of these objectives. Requirements: A Ph.D. in statistics
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. Approval of remote and hybrid work is not guaranteed regardless of work location. For additional information on remote work at Penn State, see Notice to Out of State Applicants . This is a term position
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2026. Applicants must complete the Penn State application and must also submit an application through Mathjobs.org (https://www.mathjobs.org/jobs ) with the following materials in order for