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include: expertise in programming and coding (preferably using Python and C++) and GUI development; expertise in computational mechanics and finite element simulation and modeling; expertise in laboratory
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University of New Hampshire – Main Campus | New Boston, New Hampshire | United States | about 7 hours ago
and Environmental Engineering at the University of New Hampshire. The successful candidate will be responsible for developing and coding workflow processes and designing experiments for multisensory data
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(most notably, distribution modelling); • Documented experience and skills in coding for statistical and spatial analyses by relevant tools (e.g. R, QGIS and Python), as well as ability to manage large
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Finesse, SIS, and others; knowledge of commercial codes like Zemax are a plus. Experience with electronics or hardware development, or commissioning of gravitational-wave detectors, is desirable. Good
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The successful candidate is expected to have: PhD Physics Internationally recognized experience on research using the LIGO-Virgo data Experience developing pipelines and code for gravitational-wave searches and/or
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Organization U.S. Department of Defense (DOD) Reference Code MRDC-WRAIR-2025-0019 How to Apply Click on Apply at the bottom of the opportunity to start your application. Description The Walter Reed
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. For answers to additional questions please review the frequently asked questions . The university is an equal opportunity employer, including veterans and disability. As required by Ohio Revised Code section
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. The university is an equal opportunity employer, including veterans and disability. As required by Ohio Revised Code section 3345.0216, Ohio State will: educate students by means of free, open and rigorous
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goals. You will be responsible for project milestones and deliverables. Teach and supervise graduate student projects For this position, experience with simulation development and coding is essential. We
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. The work includes theoretical analysis, algorithm design, and validation on realistic case studies, as well as dissemination of results through publications, open-source code, and collaboration with internal