63 computer-science Postdoctoral positions at Pennsylvania State University in postdoctoral
-
members with expertise in mechanical engineering, fluid dynamics, electrical engineering, and biomaterials. In addition, there are 9 full-time staff members specializing in computational methods, in vitro
-
optimization algorithms for complex trial design spaces. Required qualifications: A PhD or equivalent doctoral degree in biostatistics, statistics, applied mathematics, operations research, computer science
-
test cases back to the UXarray project. Required Qualifications: Ph.D. in atmospheric science, oceanography, Earth science, or a closely related Earth or computational science field, conferred prior
-
for translating scientific evidence to policymakers. This exciting opportunity would train a Post-Doctoral Scholar in the science of science impact by developing their research expertise in the scholarly study of
-
SPECIFICS The Department of Mathematics in Penn State's Eberly College of Science invites applications for Postdoctoral Scholars through the Center for Computational Mathematics and Applications (CCMA
-
. JOB DESCRIPTION AND POSITION REQUIREMENTS: The Eberly College of Science, Department of Physics at The Pennsylvania State University is seeking to fill a Postdoctoral Scholar position in Theoretical
-
SPECIFICS Dr. Mathias Martins is seeking a Postdoctoral Scholar to join his research program in the Department of Veterinary and Biomedical Sciences at Penn State. The laboratory focuses on poultry viruses
-
, 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/biostatistics, computer science
-
, and virome dynamics in agricultural and forest ecosystems. The successful candidate will develop and apply molecular, genomic, and computational approaches to investigate virus epidemiology, emergence
-
- Requirements include a Ph.D. in Electrical and Computer Engineering, Computer Science or other relevant fields by the start date. Prior background in machine learning, digital twins and electronic design