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Field
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at the University of Utah has openings for mid-career faculty members, who have a history of funded research as a PI/MPI and who work on the analysis of modern data sources and study designs, and expand
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research projects, papers, and publications—to facilitate highly competitive applications to PhD programs. The successful candidate will be given a high degree of responsibility and oversight
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analysis, as well as project management, training new lab members, purchasing equipment and consumables, and manuscript preparation. This position offers an opportunity to participate in several research
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technologies for development; machine learning, natural language processing; software engineering and program analysis, and theoretical computer science. There are many collaboration opportunities within
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numerical simulation methods; effective field theories (e.g. SMEFT/HEFT); collider or flavour phenomenology; Monte Carlo event generation and analysis; phenomenological model building; computational and
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of EU/ EEA countries and exemptions from the requirements: https://www.mn.uio.no/english/research/phd/regulations/regulations.html#toc8 Grade requirements: The norm is as follows: The average grade point
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experimental mechanics of composite materials, and should be enthusiastic to work in a collaborative project between industry and academia. Vacancy 3: PhD (4 years) on Numerical Simulation of Composite Hydrogen
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mathematics, algebra, logic, analysis and probability, numerical analysis, geometric analysis and PDE’s. The department participates in many interdisciplinary research collaborations, including partnerships
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space for supportive colleague communities via numerous employee resource groups. We invite applicants who are inspired by our Principles of Community and who are eager to be part of our exciting
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potential for innovation in areas such as Analysis, Mathematical Modeling, Operations Research, Data Science, Numerical Computing, etc; l Preferably under 35 years old. n Assistant Professor l Ph.D. in