123 assistant-professor-computer-"https:" "https:" "https:" "https:" "EURAXESS" Postdoctoral research jobs at The Ohio State University in United States
Sort by
Refine Your Search
-
, assisting with narrative development, drafting proposal sections, preparing supporting materials, and collaborating with CETE leadership and program teams on proposal planning. 10% Project Collaboration and
-
Computational modeling of metal alloys using an Integrated Computational Materials Engineering (ICME) approach. Responsibilities: 60% Perform research on the microstructural evolution of metal alloys during
-
Screen reader users may encounter difficulty with this site. For assistance with applying, please contact hr-accessibleapplication@osu.edu . If you have questions while submitting an application
-
Oncology The Post Doctoral Scholar will pursue specialized research training and experience in the fields of cancer and the microbiome in the labs of Dan Spakowicz, Ph.D. MS, Assistant Professor of Internal
-
Conducting research and development efforts as a Post Doctoral Scholar at the Nonequilibrium Thermodynamics Laboratories led by Professor Igor Adamovich. The Post Doctoral Scholar will focus on experimental
-
at The Ohio State University More Jobs from This Employer https://main.hercjobs.org/jobs/22131411/post-doctoral-scholar-surgery Return to Search Results
-
infrastructure in the form of a university-wide computing cluster; develop robust data/model commons integrated with cutting-edge computing clusters that will help democratize access to high-performance computing
-
community.Together, we’ll create meaningful impact at a scale few others can match. Connections working at The Ohio State University More Jobs from This Employer https://main.hercjobs.org/jobs/22120535/post-doctoral
-
conditions. 2. Must be able to work at a computer for extended periods for data analysis, and manuscript preparation. 3. May require routine work with biological samples, including recombinant proteins and
-
AI/ML domain; build a scalable shared infrastructure in the form of a university-wide computing cluster; develop robust data/model commons integrated with cutting-edge computing clusters that will help