15 phd-student-mathematical-finance Postdoctoral positions at The University of Memphis
Sort by
Refine Your Search
-
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
-
Ph.D. (or have successfully defended their dissertation prior to the start date) with a background in transportation (not necessarily from Civil Engineering). A background in applied mathematics and/or
-
the NSF and the University of Memphis. The post-doctoral researcher will be expected to oversee graduate students and projects in the CIRL, prepare data and write reports/articles for technical publications
-
Posting Information Posting Number FAE1633 Advertised Title Post Doctoral Position Campus Location Main Campus (Memphis, TN) Position Number L22130 Category Full-Time Faculty Department Mathematical
-
system, natural language processing, and cognitive science. Specifically, the position is for the newly funded project iCODE: Adaptive Training of Students’ Code Comprehension Processes whose goal is to
-
. The successful applicant will also contribute to the training and mentoring of undergraduate students and graduate trainees. The position offers opportunities to build and establish new collaborations while
-
conferences. Minimum Position Qualifications Must have a Ph.D. in Chemistry, Physical Sciences, Material Science, Chemical Engineering, Applied Mathematics, Computer Science, or related discipline. Excellent
-
PhD in a Life Science discipline. Special Conditions Initial screening will begin June 1, 2023. Posting Date 05/19/2023 Closing Date Open Until Screening Begins Yes Hiring Range $55,000 - $65,000 per
-
tutoring sessions for the use of the software (4) co-advise graduate students, and (5) collaborate with writing research manuscripts and research proposals. Applications are to be submitted via https
-
, please browse https://www.memphis.edu/fcbe . Minimum Position Qualifications Candidates must have a PhD or equivalent in a business or related field and experience in working with large datasets