16 optimization-nonlinear-functions-"Prof" Postdoctoral positions at The University of Memphis in United States
Sort by
Refine Your Search
-
, use of microscopes, data acquisition, inverse problems in imaging, optimization methods and image estimation and in particular knowledge in methods for super resolution structured illumination
-
with optimization techniques and accelerated computing are a plus for this position. Strong written and spoken English skills are required. The successful candidate will: (1) develop novel methodologies
-
on performance and availability of funding. We are seeking a highly motivated and qualified individual with a Ph.D. in Mechanical Engineering, Materials Science, Chemical Engineering, or a closely related
-
of the Mississippi embayment), surface water hydrology and modeling, model coupling, and spatial/temporal data analysis. The successful candidate will work with Dr. Brian Waldron and CAESER faculty/staff on projects
-
working with leading edge research tools and technologies. We seek candidates who are self-motivated and who work well with others. This is a 12 -month appointment with the potential of extension contingent
-
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
-
will be given to candidates in functional analysis, especially those whose research programs and interests are compatible with current U of M faculty in the area of analysis and their applications
-
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
-
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
-
biology. You will join a NIH-funded multi-institutional collaborative team focused on the roles of physiological aryl hydrocarbon receptor (AHR) ligands in skin formation and function. Preference will be