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Field
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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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and establishing priorities. Knowledge – Skills – Abilities Required knowledge: biology, chemistry, mathematics, statistics, documentation, records management, data analysis and utilization, complex
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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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Sciences | College Administration Natural and Mathematical Sciences The Post Doctoral Scholar will play a key role in advancing interdisciplinary research in STEM higher education to evaluate student
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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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significant mathematical and computational background to learn and develop new AI methods. While demonstrated experience in computer vision and deep learning for pathology or other biomedical image analysis is
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to a single 12-month term. Required Qualifications - Doctoral degree in Aerospace Engineering, Mechanical Engineering, Physics, Applied Mathematics, or related discipline; - Ph.D. must have been awarded
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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
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epidemiological modeling. Prior experience with mathematical modeling of vector-borne disease and gene drive control systems. Knowledge, Skills, and Abilities Programming skills in R or Python. Ability to work
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-doctoral researcher with a strong quantitative background in biology, evolution, or social science, and previous experience in mathematical modeling or behavioral experimentation. Purpose: Complete a multi