108 computer-programmer-"https:"-"IDAEA-CSIC" "https:" "https:" "https:" "https:" "Dr" "P" research jobs at Pennsylvania State University
Sort by
Refine Your Search
-
Listed
-
Program
-
Field
-
EHR data. The postdoctoral fellow, under the mentorship of Dr. Dajiang Liu (https://dajiangliu.blog ), is expected to work on at least one of these objectives. Requirements: A Ph.D. in statistics
-
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 Penn State's interdisciplinary Center for Theory of Emergent Quantum Matter (C-TEQ), within the Institute for Computational and Data Sciences (ICDS) Quantum Hub, invites applications for several "C
-
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
-
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
-
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
-
of reference to be uploaded to https://exoplanets.psu.edu/upload-letters/ . Questions regarding the application process can be directed to astro-jobs@psu.edu. Please reference the job number in the email subject
-
to provide evidence that all requirements have been met for completion of the Ph.D. prior to the effective date of hire. Candidates are encouraged to apply online at https://hr.psu.edu/careers . Candidates
-
. 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