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Development (50%): Develop and apply advanced statistical modeling and coding skills (primarily in R) to build a QMRA framework using data from both the scientific literature and those collected from
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patients. Supervise ARNP/PAs to deliver team-based care using innovative models (when applicable). Educational Activities: Teach medical students and Family Medicine residents in both formal and informal
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phenotyping, quantitative trait locus analysis, polygenic risk scoring, immunoengineering, and in vitro disease modeling are highly desirable. The faculty member will be expected to maintain excellence in
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specialists Program Expectations & Work Schedule Requirements: Maintain open communication with supervisors regarding class schedules and availability. Provide advance notice of any changes to work hours to
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-PIs experts in network science (Dr. Christopher McCarty), corpus linguistics (Dr. Stefanie Wulff), computational linguistics (Dr. Zoey Liu), and Spanish Linguistics (Dr. Diego Pascual y Cabo) beginning
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historical CORONA satellite imagery Integrate multi-source datasets including GEDI LiDAR and GLOBE citizen science observations Apply cutting-edge geospatial and statistical modeling techniques to quantify
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Program. They are advisors and mentors to a wide variety of students. Our current faculty members are leaders in artificial intelligence, big data analysis, cancer, genetics, infectious disease modeling and
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disorders; proper modeling of neuroimaging data; and integration of genomic, transcriptomic, proteomic, and imaging data to understand neurological conditions and responses to therapy. A ready collaborative
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, if desired, inpatient rounding. Collaborate with and supervise advanced practice providers in a team-based care model. Support and participate in faculty group responsibilities, including quality
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. These are 12 month non-tenure accruing positions with teaching, supervision, and program administration as primary responsibilities within an APA- accredited and CAEP/NASP-approved School Psychology Program