81 computing-"https:" "https:" "https:" "UCL" research jobs at Pennsylvania State University
Sort by
Refine Your Search
-
. Additional Information Applicants must complete the Penn State application and must submit an application through https://www.mathjobs.org/jobs/list/28088 ">Mathjobs.org (mathjobs.org) with the following
-
REQUIREMENTS Penn State Scranton is currently accepting applications for part-time research assistants at the Sustainable Communities Lab. Read more about Sustainable Communities Lab here: https://nonnasorokina
-
-electron microscopy–based approaches. More information about the laboratory can be found at: https://www.cryo-em.psu.edu/ . The postdoctoral scholar will contribute to ongoing projects to define structural
-
an application through Mathjobs.org (https://www.mathjobs.org/ ) with the following materials for the application to be complete: Cover letter Curriculum Vitae Teaching Statement Research Statement Publications
-
plant pathogens in organic production systems through a multi-institutional USDA/OREI funded project. The Postdoctoral Scholar will conduct or coordinate research computational analysis and pattern
-
SPECIFICS Postdoctoral Scholar Opportunity Grain Crop Production Laboratory - Department of Plant Science - Penn State University https://plantscience.psu.edu/research/labs/grain-production-lab Position
-
of, or practical experience with, program evaluation. Preference will also be considered for candidates with experience and/or training in using predictive analytics and machine learning techniques
-
years. More information on the benefits offered with this position can be found at https://hr.psu.edu/current-employee/benefits/post-doc-appts . To be considered for this position, submit a complete
-
four academic years. More information on the benefits offered with this position can be found at https://hr.psu.edu/current-employee/benefits/post-doc-appts . To be considered for this position, submit a
-
. Qualifications: Extensive training in state-of-the-art economics and econometric analysis, including spatial statistics and other advanced quantitative methods. Familiarity with modern computational and data