18 phd-in-computer-vision-and-machine-learning Postdoctoral positions at University of Arkansas
Sort by
Refine Your Search
-
Listed
-
Field
-
access machine learning, modeling algorithms, and/or mapping applications. Applicants must have a PhD in ecology, wildlife sciences or geospatial modeling. Additional Information: Salary Information
-
independent lines of research. Candidates will need to be highly organized, flexible and motivated. Excellent communication skills and computer proficiency are required. Qualifications: Ph.D. or M.D. equivalent
-
of Arkansans. UAMS offers amazing benefits and perks (available for benefits eligible positions only ): Health: Medical, Dental and Vision plans available for qualifying staff and family Holiday, Vacation and
-
contact the Division's Office of Program & Employment Compliance at compliance@uada.edu . For general application assistance or if you have questions about a job posting, please contact Human Resources
-
handling and willing to learn new techniques and employ them with superior skill and knowledge is important. A solid understanding of nutrition-related metabolism is necessary to be successful in
-
of Arkansans. UAMS offers amazing benefits and perks (available for benefits eligible positions only ): Health: Medical, Dental and Vision plans available for qualifying staff and family Holiday, Vacation and
-
of Arkansans. UAMS offers amazing benefits and perks (available for benefits eligible positions only ): Health: Medical, Dental and Vision plans available for qualifying staff and family Holiday, Vacation and
-
of Arkansans. UAMS offers amazing benefits and perks (available for benefits eligible positions only ): Health: Medical, Dental and Vision plans available for qualifying staff and family Holiday, Vacation and
-
on improving patient care and the lives of Arkansans. UAMS offers amazing benefits and perks (available for benefits eligible positions only ): Health: Medical, Dental and Vision plans available for qualifying
-
: Prof. Wei Wang), China, and her PhD from UC Berkeley, where she worked on COFs and MOFs under Prof. Omar Yaghi. She then completed postdoctoral training at Caltech in Prof. Michael R. Hoffmann's group