672 machine-learning-"https:"-"https:"-"https:"-"https:"-"https:"-"https:" positions at The Ohio State University in United States
Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Field
-
assigned sports. Assists in management of the strength and conditioning area including supervision of students and interns, facility and machine maintenance, budget and record management, and scheduling
-
Experience managing a large classroom preferred. Strong customer service skills required. Excellent communication skills required. Knowledge and experience with trouble-shooting computers issues and learning
-
specifications, 4) follow applicable trade specific codes, standards and regulations, 5) learn technical skills and apply new knowledge to solve problems, 6) select and use hand, power and machine tools,7
-
or committees. Strong data management and analytical skills. Ability to organize data and information into a succinct, effective and meaningful format for customers. Computer skills, including basic knowledge and
-
the Immune Monitoring and Discovery Platform, helping with various activities in the facility including machine QC, learning new technologies, conducting flow cytometry experiments, and engaging with clients
-
computer equipment can optimally support the work of the Center. This role also works with the College of Education and Human Ecology (EHE) Office of Information Technology (OIT) to ensure CETE’s computer
-
Products such as: Word, Power Point, Excel, SharePoint, Teams, OneNote, etc. · Proficient in Adobe Professional Proficient in using email, fax machines, copy machines, internet browsers. · Proficient
-
to the appropriate personnel. This involves processing internal and external calls through an integrated computer telephone system, initiating overhead paging, activating pagers, providing patient information, and
-
communication skills and interpret and grade student work. Performance Objectives Effectively teach courses Education and Experience Requirements Required: Masters of Music Desired: Demonstrated evidence of
-
machine learning—for chemical and biological applications. You will design and implement models ranging from molecular to process scales, develop model-predictive control and optimization strategies, run