96 parallel-computing-numerical-methods-"Prof" positions at University of California, Merced
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excellent oral and written communication skills are required. Preferred qualifications The ideal candidate has experience in developing computational methods in the fields of theoretical chemistry/physics
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Statistics Numerical Analysis Other courses as needed In addition to teaching the course(s), the instructor will be evaluating student work and exams, calculating and posting grades, and holding regular posted
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Lecturer with Potential Security of Employment (LPSOE). The Professor of Teaching series parallels that of the research-focused series but with an emphasis on excellence in teaching and other instruction
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-time (50%) assistant specialist to help with research study findings and assist with day-to-day management of numerous NCPC grant funded research. This role will include working on several grant funded
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imaging methods and techniques for direct thymus evaluation. The successful candidate will design, build, and iterate linear and non-linear optical systems for live animal imaging of the thymus. They will
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community-engaged and transdisciplinary research with a background in health, social, behavioral, and/or policy sciences and with experience in mixed methods and quantitative skills. The Scholar will conduct
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to both the research and public-facing missions of UC Merced’s Experimental Smart Farm and the Farms-Food-Future Innovation program. This recruitment may represent a multi-hire initiative. The position is
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contexts. These faculty positions, along with a new Assistant Teaching Professor, will cover a broad range of instructional needs for the new program, including communication methods, small group
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communication skills are required. Preferred qualifications Preferred Qualifications (if applicable): • Experience with experimental research, specifically using material characterization methods is preferred
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technology, biomedical, behavioral and health sciences, climate science, sustainable systems and solutions, theoretical, computational and data sciences, equity, social justice, and policy. Building upon