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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 15 hours ago
/chemistry and drug design. The researcher will conduct research to forward the developments of biomolecular modeling and AI-driven drug discovery. The researcher will also be engaged in developing proposals
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 15 hours ago
processes and how perturbations alter cellular programs. We utilize genetic mouse models for these studies along with molecular and physiological analyses. The applicant will interrogate kidney phenotypes
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Experience working in a Sports Medicine clinic Equal Employment Opportunity Statement All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual
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electronic characterization techniques to study material interfaces and optimize sensor performance Laboratory, modeling, and field-scale validation of sensor and material systems Significant contributions
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staff to identify and deliver consistent, supportable outcomes. Digital Solutions is evolving from a primarily tools- and training-oriented function into a scalable enablement model focused on embedding
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at the Associate or Full Professor level. We are particularly interested in recruiting faculty into the targeted areas of (but not limited to) neuroengineering, bioprinting and tissue engineering using human models
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designs will be developed for this purpose, including a millifluidic device. The work includes design and experimental studies of simple model systems as well as more applied studies. The applicant should
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interior and surface (imaging, observations, analyses and modelling in the fields of geophysics, geochemistry and digital science) to environmental and palaeoenvironmental themes, employing experimental
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characterization of polymeric and carbon-based materials Investigation of their catalytic activity using model molecules to gain fundamental understanding of the system Translation of these findings toward catalytic
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infrastructure and proven expertise in leading predictive modeling, data warehousing, and the deployment of self-service reporting tools and dashboards. Â 5+ years of senior-level management experience leading