10 postdoctoral-coastal-modelling Postdoctoral positions at The University of Memphis
Sort by
Refine Your Search
-
Laboratory (CIRL) – http://cirl.memphis.edu – in the Department of Electrical and Computer Engineering, The University of Memphis. The postdoctoral researcher will have the opportunity to work with Dr
-
of Civil, Construction and Environmental Engineering at the University of Memphis invites applications for a postdoctoral fellow position in transportation beginning as soon as possible in the broader area
-
of Memphis, has an opening for a postdoctoral position focusing on the development of novel methodologies for prioritizing the location of distributed stormwater control measures aimed at hydrologically
-
Department Biology Position Summary The Sutter Laboratory in the Department of Biological Sciences at the University of Memphis is seeking a postdoctoral fellow with strong experience in molecular and cell
-
Position Summary The Department of Economics in the Fogelman College of Business and Economics at the University of Memphis is seeking applicants for a postdoctoral research fellow. This position will
-
Position Summary The Fogelman College of Business and Economics (FCBE) at the University of Memphis is seeking applicants for a postdoctoral research fellow position in cross-disciplinary business data
-
postdoctoral research fellow position in workforce analytics. Candidates are expected to have a program of research in human resources, diversity and inclusion, workforce development, or related areas with
-
Department Vice President Research Position Summary Deep Science Postdoctoral R&D Entrepreneurship Fellows will work in a highly collaborative environment to conceive experiments, conduct research, and analyze
-
implementation of various components of a dialogue-based tutoring systems including but not limited to dialogue manager, semantic interpreter, question generator, student model, and domain model; help with
-
modeling. The work will focus on application of state-of-the-art Data Mining/Natural Language Processing techniques for information from published literature, development of classical machine-learning models