71 computer-science-programming-languages-"Prof" Postdoctoral positions at Duke University
Sort by
Refine Your Search
-
, Computer Science, or a related field. Additional Qualifications: • Proficiency in Python, R, SQL, and/or other relevant programming languages; knowledge of Java or C++; familiarity with shell scripting
-
Program, the Nancy Grace Roman Space Telescope, the Rubin Observatory LSST, and the Simons Observatory. The Duke Cosmology group currently consists of about ten PhD students and seven postdocs or research
-
Duke University, Electrical and Computer Engineering Position ID: Duke -Electrical and Computer Engineering -POSTDOCYIRANCHEN [#30336] Position Title: Position Type: Postdoctoral Position Location
-
Duke University, Computer Science Position ID: Duke -CS -PD_BARTESAGHI24 [#28890] Position Title: Position Type: Postdoctoral Position Location: Durham, North Carolina 27708
-
well as to other tasks related to this research program in order to solve important problems. He/she will likely implement different algorithms in Python and potentially other programming languages. The postdoctoral
-
Duke University, Computer Science Position ID: Duke -CS -PDA_TAN2025 [#30303] Position Title: Position Type: Postdoctoral Position Location: Durham, North Carolina 27708, United States of America
-
chemistry, geoscience, and/or green chemistry research is desired. The candidate should have the ability to and be excited to work in a diverse lab group setting, plan and conduct assessments independently
-
Health Program Program Type: Postdoctoral Location: Durham, North Carolina 27708, United States of America [map ] Subject Areas: Biology Mechanical Engineering Public Health Biomedical Engineering
-
Assessment Models (IAMs) such as GCAM or PAGE. The candidate must have a PhD degree in a related field, be fluent in computer programming, preferably python, and will ideally have experience in working with
-
, evolutionary biology, computer science, physics, applied mathematics, or engineering. Our research integrates mathematical modeling, machine learning, and quantitative experiments to understand and control