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Field
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will perform in vitro experiments and/or computation and contribute to the laboratory research program. The Postdoctoral Research Associate will organize, design, and perform experiments utilizing
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, among others. We produce graduates ready to enter fields that are leading the way in emerging technologies through programs such as computer engineering, information technology, and ocean engineering
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 11 hours ago
) a clinical internship in APA accredited programs Required Qualifications, Competencies, and Experience Experience in quantitative (statistical, mathematical, computational) research with large data
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(NewFoS) Science and Technology Center Connections in Quantum Information Science: A Sound Leap Required qualifications A Ph.D. in engineering, mechanics, physics, mathematics, or a related field. The
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 8 days ago
the sciences. Position Summary Applications are invited for one postdoctoral position in Applied Mathematics at the University of North Carolina at Chapel Hill. The anticipated start date is September 1, 2022
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development of researchers who are transitioning from training environments in the physical, mathematical, computational sciences and/or engineering into postdoctoral work in the biological sciences, and who
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Vascular Biology Council of the American Heart Association and co-director of an NHLBI T32 Training program in Signature Transdisciplinary Cardiovascular Sciences based at MCW’s Cardiovascular Center, I
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to care, and 2) the award-winning Business Analytics Department at Tippie College of Business, which specializes in machine learning, data science, and mathematical optimization, among other topics
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are expected to have a PhD in Physics, Mathematics, Computer Science or a related quantitative discipline. Ideal candidates from the biological sciences should have experience with scientific programming. Ideal
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disease with a focus on Alzheimer’s Disease. Computational models will be developed that utilize data obtained from a wide range of experiments, from basic biochemical methods to advanced imaging techniques