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Field
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Simulations (INMA, Zaragoza) Build and maintain software infrastructure for modeling quantum systems with machine learning tools. Investigate neural-network-based representations of many-body quantum states
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. The PDRA will quantify the differences in calculated and measured experimental conditions by adapting the Geodetic Bayesian Inversion Software ( https://doi.org/10.1029/2018GC007585) ). Working alongside our
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includes a substantial component of traditional scientific computing, as required by the everyday operation of the facility. Where to apply Website https://www.elettra.eu/about/careers.html?id=4285
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experience in doing so. This position is based at the Kansas Geological Survey (KGS), a research and service unit at the University of Kansas , and will be co-supervised by Jim Butler (https://kgs.ku.edu
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modeling, decision analysis, or related field. Experience using a distributed version control system, such as Github, to track code changes and manage software collaboratively. Experience with HIV outcomes
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; General proficiency in MS Office software; English; German; Research stays at other universities; Participation in international projects; Knowledge of the use of stable isotopes in Archaeology; Knowledge
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transportation agencies. The Postdoctoral Associate will join a multidisciplinary team of faculty, researchers, software developers, and agency partners, and will support ongoing deployment and expansion of tools
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environment. Experience with statistical software, including Stata, R, Python, and/or MATLAB. PREFERRED QUALIFICATIONS Prior research publication(s) and/or forthcoming publication(s) in top finance, economics
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attributes are encouraged to apply: Background in large-scale numerical modeling (regional planning, ecological, hydrologic climatic, or wildfire modeling). Experience with scientific software development in C
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the following software: Stata, R, Python, Matlab. Excellent command of written and spoken English, with the ability to draft academic papers, research reports and/or policy briefs in English. Evidence