560 web-developer-university-of-liverpool positions at Michigan State University in United States
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Position Summary Summary: The HCA’s primary function is to prepare patients for their office visit by obtaining and documenting vital signs and medical history and to provide assistance and support
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. On-Call allowed to work 1039 hours in any twelve (12) month period. Unit Position Summary Professional Aide will serve in the capacity of Mentor for the ESSA (Engineering & Science Success Academy
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Position Summary(Basic Job Function) This is a temporary or on-call position. Provides support for concerts, sporting events, outdoor functions and related University special events. Duties may
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inventory levels; serves as a liaison with guests, vendors, and University departments and partners; maintains health and safety standards in all operations; maintains Starbucks brand standards and compliance
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required. Responsibilities will vary; however duties may include but will not be limited to: Maintain schedule in Outlook Schedule meetings Data collection Data analysis Development of procedures Data entry
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development opportunities, and other responsibilities that advance the goals and initiatives of the MSUCOM Wellness & Counseling Office and enhance student support services. As schedules allow, the position may
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Working/Functional Title Assistant Professor – Smart Ag Production Systems Position Summary The Department of Biosystems and Agricultural Engineering (BAE) at Michigan State University (MSU) invites
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community-partnered, equity- and policy-focused medical school department. The College of Human Medicine at Michigan State University (MSU) invites applications for multiple tenured full-time research
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, citizenship, age, disability or protected veteran status. Work Hours STANDARD 8-5 Website https://www.afrobarometer.org/organisation/michigan-state-university/ Remote Work Statement MSU strives to provide a
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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