700 machine-learning-"https:"-"https:"-"https:"-"https:" positions at The Ohio State University
Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Field
-
teach one class in the spring, which will be studio-based art courses. Must be able to teach freehand drawing techniques with a range of drawing methods, media and concepts. Must be able to apply written
-
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
-
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
-
, disability, ethnicity, gender, gender identity or expression, genetic information, HIV/AIDS status, military status, national origin, pregnancy, race, religion, sex, sexual orientation, or veteran status
-
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
-
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
-
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
-
. Computer Skills: Requires thorough working knowledge of Microsoft Office applications, TECHSYS and Censitrac tracking and be capable of learning software programs and/or hardware as required. Certificates
-
; evaluates student learning; updates teaching materials as necessary. FTE, supervisor, and job duties may vary. Education and Experience Requirements Required: Master's degree required; Doctoral degree
-
. The overarching goal of Dr. Ke’s lab is to develop computational approaches and leveraging bioinformatics tools, metagenomic sequencing, multi-omics data, machine learning, and wet-lab techniques to investigate