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Field
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characteristics: PhD (completed or soon to complete) in Software Engineering, Computer Science, Artificial Intelligence, or a closely related field. Strong software development and programming skills, with
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 1 day ago
/therapeutic response, and advance basic scientific investigation into disease processes. The ideal candidate will have a strong background in both the mathematical and software sides of machine learning, with
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inform public health, in particular, in low-income settings. Qualifications: PhD of equivalent in a relevant field including, but not limited to: evolutionary biology, epidemiology, biology, computational
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Mathematics, Physics, Engineering, or Computer Science. This is a collaborative, cross-functional team, and project assignments will be tailored to match each postdoc’s strengths and growth goals. If you are
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, mathematical physics, particle theory, quantum field theory, quantum gravity and string theory. The base salary range for this position is $5705-$6525 per month, commensurate with experience and qualifications
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 1 day ago
trainees (PhD, Masters, MPH, and medical students) The selected fellow will have rich training opportunities working with the large interdisciplinary SPI team. The fellow will be able to access all SPI
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invite you to send inquiries to Mary Sorci-Thomas, PhD FAHA, Professor of Medicine and Secondary Appointment in Pharmacology and Toxicology:msthomas@mcw.edu. Purpose According to the National Institute
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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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Beijing Institute of Mathematical Sciences and Applications Position ID: 2625 -POSTDOCS [#21900] Position Title: Position Type: Postdoctoral Position Location: Beijing, Beijing, China [map
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on developing new systems models to examine social and biological drivers of infection inequality. The overarching goal of this postdoctoral position is to advance the use of mathematical and statistical models