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Field
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 3 days ago
, environmental sciences, environmental microbiology, epidemiology, public health, or related fields. Candidate should have education and/or experience corresponding to mathematics through differential equations, a
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% women; three continents represented). The strengh relies in coupling: Single-cell microfluidics Quantitative (image) analysis Mathematical modelling Microbiology Molecular biology We approach science with
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14853, United States of America [map ] Subject Areas: Nutrition Data Science Epidemiology Public Health Medicine (more...) Bioinformatics / Clinical , Computer Science , Mathematics , statistics Salary
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methods to advanced imaging techniques. Currently, a number of mathematical models exist to describe the onset and progression of Alzheimer's Disease and the effects of anti-amyloid therapies on disease
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undergraduate students). Additional duties as assigned. Minimum Qualifications Must have completed all the requirements for a PhD. in physical science, mathematics/ data science, or engineering at the time of
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 24 days ago
, mathematical, and computational techniques. Experience leading and conducting these genomics experiments and performing research in inflammatory bowel diseases, intestinal, or immune-related diseases is highly
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related field; experience with fMRI experimental design and analysis is not required but highly desired; a strong mathematical/programming skill is highly desired; and a track record of research
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Ph.D. (or have successfully defended their dissertation prior to the start date) with a background in transportation (not necessarily from Civil Engineering). A background in applied mathematics and/or
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experience in Python and/or C++ Strong mathematical and analytical skills Has experience working collaboratively within a multidisciplinary team. Excellent oral and written communication skills as demonstrated
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Measure Theory : Leveraging foundational mathematical frameworks to design robust modeling approaches. 2) Deep Learning : Exploring cutting-edge techniques such as multimodal data integration, diffusion