306 algorithm-development-"University-of-Surrey" positions at Michigan State University
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Working/Functional Title Gift Agreement Analyst Position Summary Position Description Serves as a subject matter expert to University Development staff in the creation, review, and evaluation
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Working/Functional Title Development Asst, Foundation Relations Position Summary The Development Assistant will serve as a key member of Michigan State University’s central Foundation Relations team
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Working/Functional Title Associate Director of Devel, Social Sci Position Summary Join the College of Social Science Team: Seeking a Dynamic Associate Director of Development! Are you ready to make
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Details Posted: Unknown Location: Salary: Summary: Summary here. Details Posted: 28-Aug-25 Location: East Lansing, Michigan Type: Full-time Categories: Development Staff/Administrative Internal
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an accomplished, responsive, and collaborative member for its Advancement team. This team member will be the primary development liaison with several units within the college and will identify, cultivate, solicit
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Working/Functional Title Associate Director of Devel, Human Med Position Summary MSU College of Human Medicine is seeking an Associate Director of Development to increase philanthropic support for
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of the physics applications and algorithms; Create detailed documentation for the developed applications, including user guides and technical specifications; Train users and operators on how to use the new tools
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, mathematics, data Science or related disciplines with a proven track record of expertise/expertise in tool and algorithm development and/or applied bioinformatics, who are also keen to expand our research
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Research Associate with background in irrigation, loT, and sensors to conduct research on developing an innovative irrigation management technology for field crops and specialty crops. The primary duties
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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