-
. Ideal candidates will have a strong mathematical background and be engaged in addressing important challenges in areas outside of mathematics through close collaboration with scientists and scholars in
-
, together with research experience in at least one class of modern generative models, are particularly encouraged to apply. In addition to conducting research, the successful candidate will teach two courses
-
years. These positions are dependent on funding availability. The appointment start date is negotiable, with a wide range of start dates possible. The successful candidate will be expected to collaborate
-
to collaborate with other researchers, and mentor graduate and undergraduate students, and may also teach one course per year for the Department of Statistics. A Ph.D. in Statistics, Biostatistics, Machine
-
inference, synthetic data, reproducibility, intersection of AI and data privacy, and work with survey, census, health/genomic and other complex data. The scholar will have an opportunity to collaborate with
-
his collaborators, Yan Li in the Electrical Engineering department, and Daning Huang in the Aerospace Engineering department in the area of Scientific Machine Learning. The project is to develop
-
offers a variety of opportunities to develop mathematical theory and computational methods and collaborate with translational scientists and clinicians to apply mathematical modeling to accelerate