Sort by
Refine Your Search
-
. Chrysanthe Preza and her collaborators, a dynamic and interdisciplinary team, to pursue research in the exciting area of computational imaging for microscopy. Dr. Preza’s work has been funded in part by
-
to the start date) with a background in Civil Engineering, Environmental Engineering, or Hydrology. The qualified candidate must demonstrate knowledge of urban hydrology, surface runoff dynamics, and established
-
defended their dissertation prior to the start date) with a background in water resources (not necessarily from Civil Engineering). A background in applied mathematics, field methodologies in unconsolidated
-
not limited to are impact of technology on traffic safety and operations. Experience in operation research and advanced statistical modeling will be preferred. Outstanding candidates with expertise in
-
. Applications must be submitted online at https://workforum.memphis.edu/ and include a cover letter, CV, two representative publications showcasing your writing or analytical skills, and contact information (not
-
providers upload recommendation letters on your behalf in the Workform application system Is this posting for UofM employees only? No Benefits of Employment (Applies to full-time, non-police employees only)
-
the supervision of Dr. Scott Fleming, the post-doc will have the opportunity to work on a variety of CER directions, including (but not limited to) the investigation of innovative pedagogical approaches
-
of Non-Tenure Track Research Assistant Professor with an anticipated start date of Fall 2023 or Spring 2024. This is a 12-month position with a primary focus on seeking extramural funding and conducting
-
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
-
the physicians at LifeDoc Health, a non-profit healthcare provider. Responsibilities focus on data analytics and econometric modelling of patient-level data (encounters, outcomes, etc.) and an assessment