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applicant. Access to high-performance computing facilities and cloud-based quantum hardware will be provided to support simulation and verification of theoretical methods. About you The successful candidate
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Washington. The person will conduct research, prepare project reports and presentations for conferences, and write manuscripts for journals. Furthermore, the person will perform professional-level work in
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Carnegie Mellon University is a private, global research university that stands among the world’s most renowned education institutions. With ground-breaking brain science, path-breaking performances
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 1 day ago
or polar oceanography. Experience with high-performance computing, GPU-accelerated models (e.g., Oceananigans.jl), or advanced flow measurement techniques (e.g., PIV, LIF). Interest in mentoring graduate
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presentations for conferences, and write manuscripts for journals. Furthermore, the person will perform professional-level work in scientific research, utilizing advanced skills and knowledge to execute
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environments (i.e., indoor farming, greenhouse, and high tunnel settings). Our goal is to find sustainable solutions to pest problems in controlled environments. The postdoctoral associate will perform
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calculator: https://www.hw.ac.uk/about/work/total-rewards-calculator.htm to see the value of benefits provided by Heriot-Watt University. Detailed Description We are looking for a PDRA to complete the work
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Carnegie Mellon University is a private, global research university that stands among the world’s most renowned education institutions. With ground-breaking brain science, path-breaking performances
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Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description The Faculty of Social Sciences, INVEST Flagship Research
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modeling. Perform predictive modeling using high-performance computing (HPC) infrastructure. Validate computational predictions by collaborating with experimental groups conducting reverse genetics studies