30 parallel-computing-numerical-methods-"Simons-Foundation" positions at University of New Hampshire
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that they support determine effectiveness in meeting goals. Duties/Responsibilities Facilitate program meetings. Review and update program action plan. Review program SMART goals, provide update on progress and
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engineering with a focus on environmental systems and infrastructure analysis. Strong analytical and quantitative skills, including the ability to design experiments and computational methods, manage complex
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training programs for men and women student-athletes participating in the intercollegiate athletics program under the supervision of the Head Strength/Conditioning Coach. Duties/Responsibilities Enables men
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rooms and other equipment/props for simulation or skills lab sessions Operate a variety of computers and technical simulation equipment pertaining to simulation scenarios, including virtual reality
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, Materials Management and Digital Services and IT Program Leads and working closely with program colleagues, but with considerable independence and autonomy serve as a source of information for patron inquires
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research in data visualization and related computer science topics in support of ocean mapping, hydrographic, and marine navigation applications, interpret results of research, determine scientific
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, methods. (10%) Helping out with mapping group activities. (10%) Minimum Acceptable Education & Experience PhD Required Licenses & Certifications: Boating license, SCUBA certification Required Knowledge
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program for PSU students in collaboration with Community Impact, Alumni Relations, Employers and other campus stakeholders Oversee and expand a centralized campus-wide internship program (both for-credit
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, confidentiality, professional and personable demeanor, ability to stay current with technology tools as they become available. Job Duties: Academic Program Coordination: 50-60% Coordinate all aspects of work and
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USNH Employees should apply within Workday through the Jobs Hub app This postdoctoral position is a key component of Assistant Professor Aylin Aykanat’s independent research program in