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Description About Us Ardent Process Technologies is on a mission to save the planet. We create technology to capture and reduce greenhouse gas emissions, avert global warming, and transform industry into a long
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physics , Neutrino physucs , Noise mitigation , Non-equilibrium quantum physics , Nonequilibrium physics in bulk and molecular quantum materials , Nonlinear and Complex Systems , Nonlinear Integral Systems
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, Math , Mathematical Sciences , Mathematics , Mathematics Education , Nonlinear Partial Differential Equations , Partial Differential Equations , Physics , Probability , Probability, Mathematical Physics
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designed to support your growth as a researcher, innovator, and engaged citizen, fully equipped to lead the next generation of responsible simulation science. See our website for more details (https
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goal the development of gravitational wave physics and astronomy. The LIGO Laboratory is managed by Caltech and MIT, and is funded by the National Science Foundation. It operates observatory sites
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5 Feb 2026 Job Information Organisation/Company UNIVERSITE DE TECHNOLOGIE DE COMPIEGNE Department Mechanical Systems Engineering Research Field Technology » Other Researcher Profile Recognised
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choose from several health coverage options offered by The Texas A&M University System for themselves and their families, as well as numerous other benefit programs. https://www.tamus.edu/business/benefits
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The University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 2 months ago
/Description: This position may be eligible for a hybrid work arrangement that may include a partially remote work location, consistent with System Office policy. UNC Chapel Hill employees are generally required
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6 Mar 2026 Job Information Organisation/Company FEUP Department Human Resources Division Research Field Engineering » Mechanical engineering Researcher Profile First Stage Researcher (R1) Positions
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systems. However, when dynamics are complex, nonlinear and partially unknown, such a model is typically obtained from observations by performing system identification. Typical identification algorithms