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candidate will be determined based on factors including (but not limited to) the qualifications of the selected candidate, budget availability, and internal equity. Pay Range: $86,100 Adaptive Stress Testing
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questions as to the short and long-term impacts on vascular disease risk. Published work from our laboratory has shown that both subcutaneous infusion of the major tobacco component, nicotine, and inhaled e
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learning methodologies. The underlying data are complex and will require sophisticated data management and integration skills. A candidate should have proficiency with GIS software and Python, strong written
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, biologics, and cannabis. Apply statistical and machine learning approaches (e.g., sequence analysis, latent class analysis, clustering) to examine medication use trajectories and patient subgroups
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substitution in the EGFRvIII peptide significantly increases survival in an animal model of glioblastoma by enhancing proteasomal processing. We also developed robust methods to detect a new class of non
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Materials: Please submit application via Google form: https://docs.google.com/forms/d/e/1FAIpQLSfAS-egCfr_XyEVyfHOteldrYpN4OBmsEakpZeR652flQIsKA/viewform?usp=dialog (link is external) Does this position pay
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): Computer Science or Informatics: Proficiency in programming and software development with a habit for robust unit testing. Our group mainly develops software in a Python + SQL environment with use of large language
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Lab. As such, we are looking for candidates who are interested in launching a project from the ground-up, are effective in small teams, and are excellent communicators. Successful candidates will join a
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/summerhanlab.html (link is external) How to Submit Application Materials: Please email a cover letter, CV, a short description of research interests, and contact information of three referees to: Summer Han, Ph.D
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multiple human MRI research scanners operating at 1.5, 3, and 7T field strengths, as well as small-bore systems for specimen and animal studies at 7T and 11.7T. The appointment will be for a 1- or 2-year