281 parallel-and-distributed-computing-phd-"Multiple" positions at University of Nevada, Reno
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organization and project management skills in a team-based environment with multiple projects Flexibility and adaptability within role; ability to time manage and prioritize tasks Willingness to mentor an intern
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success. We offer multiple bachelor’s and graduate degrees and graduate certificates through our five departments: Chemical & Materials Engineering Civil & Environmental Engineering Computer
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applications for a tenure-track Assistant Professor in Cognitive and Brain Sciences, with an anticipated start date of July 1, 2026. We seek an exceptional scholar with a strong and innovative research program
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implementation of residential education initiatives. This position oversees the Living Learning Community (LLC) program and leads strategies to support academic success within the residential experience. Key
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are encouraged to apply. Candidates with strong organizational skills and experience in managing multiple projects simultaneously are encouraged to apply. Schedule The typical work schedule is Monday through
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program. This role is responsible for developing strategies to increase philanthropic support from corporations, foundations, associations, and other organizations, advancing the university’s 13 colleges
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seeking applications for a tenure-track or tenured faculty position at the Associate Professor level to support its Nuclear Packaging program. This position aligns with the University’s mission as a land
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from multiple sources, building databases and data warehouses, and creating dashboards and reports that help faculty and students make data-driven decisions. The analyst works directly with researchers
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offer multiple bachelor’s and graduate degrees and graduate certificates through our five departments: · Chemical & Materials Engineering · Civil & Environmental Engineering · Computer
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neuroethology and robotics. This position focuses primarily on the neuroethology aspects of our research program, with particular emphasis on understanding the behavioral and neural mechanisms underlying active