153 parallel-computing-numerical-methods research jobs at The Ohio State University in United States
Sort by
Refine Your Search
-
Cancer Care Program Department: CCC | Cancer Prevention Position Summary Clinical Research Assistant who provides daily operational support to the Total Cancer Care Program, TCCP, in the Comprehensive
-
written communication skills. A collaborative mentality towards research and mentoring. Desired skills and techniques include experience in parallel computation and advanced numerical programming, using
-
to submitting your application, please review and update (if necessary) the information in your candidate profile as it will transfer to your application. Job Title: Post Doctoral Scholar - Biomedical Informatics
-
Research Program - Student Assistant (M) Department: Medicine | Davis Heart and Lung Institute DHLRI-JM The Ohio State JB Cardiovascular Medicine Summer Undergraduate Research Fellowship (OSU-JB-CVM-URF
-
Program Department: Medicine | Pathology Post Doctoral Scholar position in the laboratory of Hiroki Taniguchi Ph.D. Research focus is on understanding the molecular, cellular, and circuit mechanisms
-
of study in the fields of AI/ML, aerodynamics and acoustics, and computational methods. Demonstrated strong written communication skills. Required Experience: N/A Desired Experience: Doctoral degree in
-
turbulent flows, and computational methods; Strong written communication skills. Preferred Experience: Expertise in the fields of system identification, modal decompositions, transitional and turbulent flow
-
Radiology Research Associate who participates in planning, design, execution, and management of research projects in a research laboratory investigating computational methods and artificial intelligence (AI
-
Scholars are expected to lead analyses critical to the species delimitation research program and to take initiative in contributing to the design of investigations into little brown bats and other species
-
motivated researcher with a strong background in computational modeling, system identification, and uncertainty quantification for civil infrastructure. The successful candidate will join the Risk Assessment