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; field-theoretic techniques in topological phases of matter; and quantum information theory as it relates to condensed matter problems. Candidates with either (or both) analytical and numerical expertise
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scientific leaders and researchers. For more details, please view https://www.ntu.edu.sg/spms Join the research group of Pinaki Sengupta at SPMS. We are seeking a Research Fellow to contribute to a project
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Inria, the French national research institute for the digital sciences | Montbonnot Saint Martin, Rhone Alpes | France | about 1 month ago
problems numerically, physics and mechanics have a long-standing culture to model and analyse complex systems through controlled experiments and theoretical developments. Progressively, these communities
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background in petroleum engineering, geology, geophysics, or related fields. Knowledge of reservoir engineering (especially numerical simulation) and programming skills is preferred. The objective
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Indianapolis. Our department is housed in a state-of-the art facility, the Regional Academic Health Center, with the Speech-Language and Hearing Clinics, numerous research laboratories, and is connected
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aspects of data science. This position will focus exclusively on research and will not have teaching or service obligations. The successful candidate will devise and conducting numerical experiments
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of Chemistry for an excellent chemist in the field of metal-organic frameworks (MOFs). MOFs are the largest family of crystalline nanoporous material that is receiving global research attention for numerous uses
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of managing financial data, ideally in a finance setting, and will be highly numerate with strong attention to detail. Previous experience of using Oracle would be advantageous. What We Offer As an employer, we
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numerical results is desired as this is a multi-partner project Website for additional job details https://emploi.cnrs.fr/Offres/CDD/UMR7588-CARLEB-009/Default.aspx Work Location(s) Number of offers
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Proficiency in at least one programming language, preferably Python; experience with scientific computing, numerical modeling, or machine-learning frameworks is an asset Strong analytical skills with a solid