217 software-engineering-model-driven-engineering-phd-position positions at Zintellect
Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Field
-
invited to set up experiments to explore potential environmental conditions, test water mixing models, and constrain the influence of biology on mineral alteration. Studies focusing on clay minerals
-
diverse fields such as: applied mathematics, atmospheric characterization, simulation and human modeling, digital/optical signal processing, nanotechnology, material science and technology, multifunctional
-
appointed. Application Deadline 9/21/2026 11:59:59 PM Eastern Time Zone Description The Advanced Computing Lab at the Department of Homeland Security (DHS), Science and Technology Directorate (S&T) is seeking
-
Advisors: Kristen Okorn [email protected] (650) 960-5137 Questions about this opportunity? Please email [email protected] Qualifications Position Requirements: PhD in the physical sciences or engineering
-
, the development of new measurement approaches, and geophysical modeling. The selected candidate will be able to work a broad range of research directions. Possible projects include: orbit determination and geodetic
-
of historical Galileo data, preparation for Europa Clipper measurements, and development of theoretical and numerical models. Potential research projects include reanalysis of Galileo data such as radio tracking
-
, plant science, engineering, textile technology, and data science. This team is dedicated to developing and improving methods for assessing cotton fiber quality across production, processing, and end-use
-
Organization U.S. Department of Defense (DOD) Reference Code ERDC-CHL-2026-0013 How to Apply Click on Apply now to start your application. Description The U.S. Army Engineer Research and Development
-
creates a pathway for you to advance your PhD thesis research while conducting research at a DOE National Laboratory, collaborating with world-class scientists, and using state-of-the-art facilities and
-
predictive modeling, to identify distinct phenotypes of diabetes and characterize factors associated with disease onset, progression, complications, and mortality. Gain experience analyzing administrative