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Position Summary The Boon lab is looking for an enthusiastic Post-doctoral fellow to support our team studying cellular immune responses to influenza virus and SARS-CoV-2 in mouse and hamster models
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for this position. More About This Job Preferred Qualifications: Good understanding of computational biology, probabilistic models, statistics, machine learning, and discrete mathematics. Ability to analyze and
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Forecasting, Financial Modeling, Interdisciplinary Teams, Leadership, Oral Communications, Project Administration, Stakeholder Management, Teamwork, Working Independently, Written Communication Grade G16 Salary
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electrophysiology, RNA-sequencing, biophysical modeling of neurons and computational models of behavior to understand how chronic pain and opioid analgesics alters plasticity in neural circuits, and how changes in
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impressions for study models, place and remove rubber dam and matrix and wedge, expose radiographs, perform Coronal polish, chart clinical findings, and other delegable duties as specified by law. Independently
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impressions for study models, place and remove rubber dam and matrix and wedge, expose radiographs, perform Coronal polish, chart clinical findings, and other delegable duties as specified by law. Independently
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while ensuring consistency and equity in career advising services. A key complexity of the role is its direct involvement in preparing students for the high-stakes residency match process, where outcomes
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-based programs such as the End of Week Unwinds. Ensure these services are accessible, responsive to student needs, and consistently promoted as part of a holistic student support model. Adaptive
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to join our interdisciplinary research group. The successful candidate will conduct original research in biophysical modeling and live-cell fluorescence microscopy, focusing on the actin cytoskeleton’s role
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underlying model calculations, and implement practical solutions to complex problems. Prior experience with month-end close processes, including journal entries, and advanced Excel skills strongly preferred