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Field
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programs, benefits and activities on the basis of demonstrated ability, performance and merit without regard to personal factors that are irrelevant to the program involved. Pre-Employment Information If you
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. * Perform simulation studies and real data analyses using high performance computing resources. * Support for grant application. * Prepare draft manuscripts, assist with revisions, and address reviewers
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the position/program please contact nyuad.kawader@nyu.edu (due to the high volume of emails received, please allow 5 working days for a response) For people in the EU, click here for information on your privacy
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Knowledge on numerical linear algebra, numerical methods, high performance computing, or other related fields Job Family Postdoctoral Job Profile Postdoctoral Appointee Worker Type Long-Term (Fixed Term) Time
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Digital Twin (FLDT) is a flagship research initiative funded by the UF Office of Research that leverages high-performance computing, AI, and geospatial modeling to build AI-powered replicas of the built and
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Accredited laboratories and safety proving ground Outstanding research support services Hybrid work environment/telecommuting Flexible work hours Family friendly High staff retention rates Leadership
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multidisciplinary team of scientists and High Performance Computing (HPC) engineers. In the AL/ML group, we work at the forefront of HPC to push scientific boundaries, carrying out research and development in state
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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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approximately 600 undergraduate and 90 graduate majors, as well as offering a number of general education classes in the discipline. The primary research foci of the tenure track faculty are high-performance
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with experimental techniques including current meters, pressure sensors, and GPS surveying. Proficiency in computational methods include large-scale and high resolution hydrodynamic models. Experience