1,805 parallel-computing-numerical-methods positions at The Ohio State University in United States
Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Field
-
high-performance numerical experiments, analyze data, and communicate your findings through journal publications and conference presentations. The ideal candidate holds a Ph.D. in Chemical Engineering
-
responsibilities may include applying and mastering research concepts, practices, or methods of scholarship; organizing or analyzing data; writing reports; presenting findings; collaborating with others in preparing
-
Hospital | ENVIRONMENTAL SVCS - DODD Job Description Under general supervision from administrative superior specializes in a variety of advanced cleaning methods and/or project work in order to meet health
-
mixed methods approach to evaluation is preferred. Experience in behavioral health and/or maternal and child health program implementation and/or evaluation is preferred. Additional Information: The Ohio
-
focuses on the development or application of AI/ML methods to problems in the nuclear science and engineering disciplines. The use of AI/ML must be a core aspect of the candidate’s research program and
-
System Shared Services | Hospitals Administration-JM Provides apprenticeship experience along with financial support. This apprenticeship complements formal instruction offered in the graduate program and
-
and AI and Biodiversity Change Global Center (ABC) Department: Engineering | Computer Science and Engineering The Imageomics Institute and ABC Global Center Senior Data Scientist provides broad
-
| Electrical and Computer Engineering This position researches theoretical and experimental methods for the detection of counterfeit integrated circuits assists with the development of grant writing and
-
Radiology Research Senior Associate who designs, executes and manages research projects investigating computational methods and artificial intelligence (AI) in medical imaging in the Department of Radiology
-
expertise in educational and social science research methods, with a strong background in quantitative and/or qualitative analysis. Show evidence of experience in survey research, instrument development, and