206 machine-learning-"https:"-"https:"-"https:"-"https:"-"https:" positions at Purdue University
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) forms Other responsibilities as required Additional Information Hours are flexible around student schedules, and work study is available. Up to 40 hours per week commonly available. Opportunity to learn
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for further enhancement. College and Department Commitment to the College and Departmental missions of learning, discovery, and engagement, and support of the College and Department strategic plans
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basis. The Primary Responsibilities of successful candidates will be to: Teach on campus and/or online courses in introductory Political Science courses Follow the syllabus and curricula provided
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to work with social media monitoring software (Hootsuite, UberVu, TweetDeck). Self-starter with demonstrated experience working on multiple projects; learning from supervisors and collaboration with
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, weekends, overnight hours and holidays Employment Summary (DO NOT EDIT OR REMOVE this section) The Division of Student Life is committed to making every experience at Purdue University a learning opportunity
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-needed basis. The Primary Responsibilities of successful candidates will be to: 1. Teach on campus and/or online courses in Bachelor of Arts in Social Work (BASW) or Master of Social Work (MSW) program. 2
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candidate will teach primarily undergraduate psychological sciences courses as well as play a key role in developing and implementing the department’s academic programs at Purdue in Indianapolis, an extension
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ensure quality learning experiences for students. This hybrid role is based in Council Bluffs and Dallas County, offering flexibility for candidates who prefer a balance of onsite and remote work. Regular
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at The Center for Healthcare Education and Simulation 1795 IA-64, Anamosa, IA 52205. Job Summary: This role is a clinical coordinator position and faculty position. The incumbent will typically teach a theory
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development and use of knowledge base of information to be used in delivering effective customer service. Analyze, compile, audit, and validate crucial eligibility data through multiple computer-based