17 computer-programmer-"https:"-"Prof" "https:" "https:" "Inserm" "Institut Curie Research Center" Postdoctoral positions at Virginia Tech
Sort by
Refine Your Search
-
alternative data sources, maintaining detailed design specification and written documentation for existing models, being responsible for the development of new computational methods and work with programmers
-
, with opportunities to publish, contribute to proposals, and gain experience in laboratory and project management. For more information, please visit: https://nmfc.me.vt.edu/. Required Qualifications
-
the Shin Lab: • https://news.vt.edu/articles/2025/07/research_fralinbiomed_shinR01_mmdd.html • https://news.vt.edu/articles/2023/11/research_fbri_shinstress_1123.html Responsibilities: • Lead an independent
-
research statement, and a teaching statement as part of the online application no later than June 30, 2025. Additional information about position requirements and responsibilities can be found at http
-
Job Description Applications are invited for a National Science Foundation funded (LEAP HI Program #2051685), Postdoctoral Associate position with the System Performance Laboratory (SPL
-
research program that works both within and at the boundaries of data science/econometric methods and the social sciences to discover, create, and disseminate new knowledge. The successful candidate will
-
motivated and collaborative researcher with expertise in engineering, materials science, or related computational fields to contribute to our growing research program in sustainable food packaging. Current
-
and collaborative researcher with expertise in engineering, materials science, or related computational fields to contribute to our research program focused on transport packaging optimization and
-
of appointment with a minimum of one year eligibility remaining. - Strong promise of developing an active research program in an area that can be mentored by the Mathematics Department faculty. Preferred
-
systems for accelerating computational catalysis and experimental design. The successful candidate will contribute to building AI-native frameworks that combine first-principles modeling, machine-learning