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                to develop and review business intelligence models. • Assist in preparing the annual University of Colorado Denver Budget Data document for state General Fund support. • Help develop the annual budget 
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                microbiology, bacterial genetics, molecular biology, biochemistry, and murine models. Experience in bioinformatics and structural biology will be positively evaluated. Successful candidates will work with the 
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                behavioral tasks, rigorous signal processing, and computational modeling. We especially encourage applicants whose work complements and extend our strengths in neurosurgery, neurology, psychiatry, biomedical 
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                animal models to humans and includes Drs Agrawal, Greene, Klug, Manchaiah, Peng, Rennie, Santos-Cortez, Tollin, Uhler, and others. The ideal candidate for the position will have a Ph.D., MD or MD/PhD 
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                treatment planning, outcome prediction using image processing (radiomics, anatomy changes, et.), large language models to aid in clinical diagnosis and treatment management, and AI applications to advance 
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                Colorado · Must be willing and able to pass a national criminal background check *For questions regarding Children’s Hospital drug testing requirements, please contact Children’s Human Resources 
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                public institutions of higher education in Colorado, modeled after the School of Medicine’s Rural Program. The Initiative was established and is funded by the Colorado Legislature and involves the MD, PA 
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                experience; implement remediation when needed. · Optimize APP integration (co-management models, independent visit types, shared-visit standards, staffing ratios, role clarity) and promote career 
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                Open Rank - Assistant, Associate, Professor. Lead Scientist in Psychiatric Neuromodulation Research..). Experience with advanced neuroimaging, electrophysiology, or computational modeling. Demonstrated success in interdisciplinary collaboration. Experience mentoring trainees and building research teams 
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                of antibody-mediated demyelination, identification and prevalence of disease-relevant antigens, bioassays for antigen detection in patient specimens, animal models of antibody-mediated CNS demyelination