320 parallel-computing-numerical-methods "https:" positions at George Mason University
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Department: Col of Engineering and Computing Job Category: Adjunct Faculty Job Type: Part-Time Location: Fairfax, Science and Technology (formerly Prince William), Arlington, and Loudoun campuses
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on University HVAC systems and equipment to include: Locating causes of failure or malfunction by observation and testing of mechanical, electrical, pneumatic components, and application-specific computer
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explore new and innovative methods. We do this all with integrity that binds us to honesty, trust, pride, and responsibility to produce quality information. About the Position: The Data Governance
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check: Yes About the Department: The Mathematical Sciences Department offers undergraduate, Master’s, and Ph.D. programs in pure, applied, and computational mathematics. Research across a variety of
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sponsorship Salary: Salary commensurate with education and experience Restricted: Yes Criminal Background Check: Yes About the Department: The Center for Spatial Information Science and Systems (CSISS) is an
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obligations. Facilitates A/E dispute resolution. Programming/Design Phase Manages programming and design of assigned capital projects to ensure that A/E design submittals maximize the users' program goals and
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' program goals and are compliant with the project's authorization criteria, Mason's HECO manual, Campus Master Plan, and Design Guidelines and Construction Standards; Ensures that design submittal, review
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check: Yes About the Department: The Early Identification Program (EIP) is George Mason University?s college access program, which encourages the academic advancement of students who are the first in
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Qualifications: Vocational or technical training in related field; Experience in building and infrastructure design, construction administration, and means and methods for all types of major building construction
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analysis, PDE-constrained optimization and optimal control, numerical analysis and scientific computing risk-averse and fractional models, digital twins and data-assimilating models, machine learning and