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driven individual with a PhD in data science, computer science, biomedical informatics, or a similar background with some experience working with large datasets. Prior experience with healthcare is not
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Employee Type: Regular Time Type: Full time Rate Type: Salary Compensation Statement: The pay range listed for this position is determined by our compensation program using market data and salary
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challenges facing the nation. We are seeking a Postdoctoral Research Associate who will focus on the physics of correlated and topological quantum materials. This position resides in the Quantum
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 4 days ago
cloud compute credits are available along with CPU/GPU nodes provided by the university. The expected outcomes of the position are: lead 1-2 major projects, contribute to other projects, collaborate with
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analysis, to work collaboratively with research teams within Pfizer, and to publish in high-impact journals. By the end of the program, the Postdoc will be proficient in NGS technologies and nucleic acid
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an ongoing random drug testing program. Applicants cannot have received their PhD more than five years prior to the date of application and must complete all degree requirements before starting
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 4 days ago
research grants held by faculty in the department to maintaining course and student records. These activities are usually accomplished in a standard 40- hour week schedule. Position Summary The computational
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. Qualifications Appropriate PhD. A well-qualified candidate will also possess one of more or the following Ability to multi-task and work cooperatively with others. Ph.D. in Psychology, Neuroscience, or a related
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voluntary benefits. Postdoc Scholars may also be eligible for retirement savings and tuition programs. For program details and eligibility, please visit https://hr.gwu.edu/postdoc_benefits. II. POSITION
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conferences. Qualifications: PhD in computer science with file systems, GPU architecture experience. Proven ability to articulate research work and findings in peer-reviewed proceedings. Knowledge of systems