Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Program
-
Field
-
must be able to independently conduct advanced soil laboratory tests and interpret the results with constitutive models, including but not limited to: Saturated and unsaturated stress-probe tests, water
-
are looking for a highly motivated candidate to fill an ANR (French National Research Agency) funded research position aimed at applying our sequential RNA-FISH method to our study model. The candidate will be
-
(AI), mechanistic modeling, and quantitative systems pharmacology (QSP). Funded by an NIH R01, our group develops predictive frameworks that integrate advanced AI/ML methods with multiscale mechanistic
-
graphical models. A Fellow of the American Statistical Association, the Institute of Mathematical Statistics, and the American Association for the Advancement of Science, Dr. Madigan has also served as Editor
-
excellence that includes the state’s 1871 flagship, land-grant research university; Arkansas’s premier institution for medical education, treatment and research; a major metropolitan university; an 1890 land
-
recent research progress, please visit: https://www.cqm2itp.com/ Research fields (1) Quantum many-body theories and numerical methods, particularly tensor network-based algorithms for studying ground
-
simulations; coupling of fluid sloshing simulations and spacecraft dynamics; assessment and analysis of multi-phase aspects for cryogenics; modelling of fluid-structure interaction between propellant and a
-
for field and laboratory datasets. Perform statistical analysis and spatial modeling using R and/or Python. Develop machine learning models for digital soil mapping applications. Create and maintain
-
structures, and funding models; Demonstrated strategic leadership experience developing and executing fiscal and operational plans in a complex organization; Demonstrated ability to be an active, senior-level
-
vegetation with traditional engineered barriers to enhance hazard mitigation. It will combine advanced numerical modelling with scaled flume experiments to provide a comprehensive understanding of landslide