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University of New Hampshire – Main Campus | New Boston, New Hampshire | United States | about 2 months ago
to theory (20%) A review of relevant literature and theory on ice sheet resonances will be performed. Relevant theory will be coded in MATLAB (preferred) or Python (acceptable). Comparisons between theory
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) datasets. Capacity to convincingly connect concepts and theory to tangible heritage. General knowledge of (bio)archaeological subdisciplines. Previous work on cultural heritage and/or public archaeology. We
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completion of ANTH1102, 1150, or 2331 Completion of Methods and/or Theory Preferred Experience Bibliographic Software and/or Data Coding Software Proposed Salary $12.00 per hour This is a non-exempt position
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scholar positions. The group plays leading roles in developing reconfigurable nanophotonic devices, MEMS-based instrumentation for precision control, and advanced nanophotonics theory and design. The
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and fabrication techniques typical in Building Systems and perform mathematical computations of trade. Thorough knowledge of: the theory and operation of heating; materials, equipment and techniques
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, specifications, and plumbing codes. 2. Lays out and assembles pipe systems and supports. Cuts, bends, welds and threads pipe. Inspects work site to determine presence of obstructions; plans installation and
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and complaint systems. Provide daily oversight for the department implementing the Student Code of Conduct and ensures compliance with university policies, as well as local, state, and federal laws as
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Obukhov Similarity Theory and be familiar with high-accuracy concentration and flux measurements of greenhouse gases and MS in atmospheric science or comparable experience is needed. Requirements Bachelor's
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Upgrade for the high luminosity running of the LHC and searching for Beyond the Standard Model physics using effective field theory. The Post Doctoral Scholar will take a leading role in analysis of Run 2
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, data poisoning, and privacy breaches. This involves building inherently robust systems and developing new defense mechanisms. Fundamental Theory of Deep Learning Empirical success must be supported by a