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Field
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expected to collaborate with a faculty mentor and supervisor and graduate students. Applicants should preferably have research interests in applying computational methods (broadly defined) to one or more of
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are not limited to lithic, behavioral, statistical, and computational data collection and analysis. Provides input to research design and protocol development, including the development of new research
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of supporting diversity at our centre, we actively promote women in science and in leadership positions. We among others do this through our gender equality plan and the cascade model measures which we
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Knowledge of in RNA biology Experience with RNA CryoEM/crystallography/SAXS Prior experience with high-throughput or computational protein design/screening techniques Job Family Postdoctoral Job Profile
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addition to salary, our Total Rewards benefits and Compensation Estimator give you a clear view of the complete package. Context of job: The laboratory of electrochemical Analysis and Diagnostics headed by Dr. Yao
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formal mentor plan. The purpose of this postdoctoral position will include training in community-engaged research, implementation science, study management, grant writing, manuscript development, and field
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research on emergent viruses, leveraging molecular biology, biochemistry, virology, immunology, and informatics to tackle diverse challenges. This is an opportunity to immerse yourself in cutting-edge
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Postdoctoral Research Associate - Training in Pediatric Cancer Survivorship Outcomes and Interventio
; a top-ranked scientific environment; and superb benefits, mentoring, and professional development. Positions are available in diverse research areas, including epidemiology, genetics, computational
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University of North Carolina at Charlotte | Charlotte, North Carolina | United States | about 18 hours ago
equivalent doctorate (e.g., Sc.D., M.D.) Departmental Preferred Experience, Skills, Training/Education: Ph.D. in Political Science, Economics, Public Policy, Geography, or a closely related Computational or
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using real-time monitoring systems. Develop AI and machine learning models to integrate real-time monitoring data Collaborate with colleagues in computer science and computer engineering to integrate