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Field
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interdisciplinary team working under the supervision of Prof. Mikhail Zubkov https://www.ariel.ac.il/wp/mikhail-zubkov https://scholar.google.com/citations?hl=en&user=NMhCf3oAAAAJ&view_op=list_works&sortby=pubdate
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work closely with ABIF imaging scientists to advance facility capabilities, support users through training and consultation, and lead innovative technical development projects. More information about the
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-mining/NLP pipelines). Experience developing research software that supports end users, including building web-based tools/platform features, APIs, dashboards, and deployable prototypes (level of depth can
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absorption spectroscopy (XAS) and X-ray emission spectroscopy (XES) in the medium to hard X-ray energy range (2.4–40 keV). Operational since 2019, Balder serves a diverse user community across material science
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engineering. We seek candidates with an interest in participating in large multi-PI grants and with collaborative research experiences, experience writing proposals for user-facilities, and/or experience
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experience in development of user interfaces, code debugging and optimization is also meritorious. It is considered a merit to have previous experience within EU-funded collaborative international projects
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of economic phenomena, probabilistic reasoning in artificial intelligence, study of the behavior of online social media users; Experience in data analysis, statistical and econometric modeling, using IBM SPSS
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supporting a broad range of interdisciplinary user experiments as part of an international team of physicists and engineers Develop advanced concepts for numerical and experimental optimisation of electron
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services and operational products to users (local, national and international) that aid in the decision support of water and food systems. About IsoTrace: Within the framework of the IsoTrace project, our
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of economic phenomena, probabilistic reasoning in artificial intelligence, study of the behavior of online social media users; Experience in data analysis, statistical and econometric modeling, using IBM SPSS