216 high-performance-quantum-computing-"https:"-"https:"-"https:"-"https:" positions at Michigan State University
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. This position will be responsible for supporting or co-leading processes that enhance student success and contribute to the College’s strategic objectives through effective academic advising, program coordination
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, onboarding, and performance management processes. This position serves as a liaison between operations and MSU HR. An ideal candidate has excellent problem solving, note taking, and communication skills with a
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professional support functions. Unit Position Summary This position is for event performers/musicians to perform in a variety of private, public and University performances. Other duties include playing and/or
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Working/Functional Title Elementary Course & Field Instructor Position Summary Elementary teacher preparation program course and field instructor. Successful individual will teach in our elementary
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. On-Call's are allowed to work 1039 hours in any twelve (12) month period. Desired Qualifications High school education. Basic computer knowledge. Equal Employment Opportunity Statement All qualified
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Position Summary(Basic Job Function) This is a temporary or an on-call position. Provides technical support. Responsibilities may include computer programming or operations; research support
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Position Summary(Basic Job Function) This is a temporary or an on-call position. Provides technical support. Responsibilities may include computer programming or operations; research support
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of youth for project testing the impact of a self-management program to promote child outcomes, 4) serving as a mental health champion trainer – training and supporting integrated clinical providers part of
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requirements, including curriculum design, evaluation methodologies, and compliance with program standards Leverage extensive experience in Graduate Medical Education (GME) leadership to advise on developing
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, computational imaging, and theory. The position will work on multiple problems in these domains, to develop mathematical and algorithmic foundations for deep unsupervised learning for imaging with improved