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programming skills are essential, along with a track record of published papers and strong self-motivation. - Prior experience in the areas of machine learning / data-driven methods, signal processing and/or
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(NMR) techniques and other methods to explore emergent quantum phenomena in novel materials. The Postdoctoral Scholar appointment offer is contingent upon evidence of a doctoral degree, documentation of
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are essential, along with a track record of published papers and strong self-motivation. - Prior experience in the areas of machine learning / data-driven methods, signal processing and/or applied mathematics
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machine performance as well as explore and develop advanced control methods for injectors and storage rings. Additionally, the position requires using ML methods to analyze operational data and develop
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, Economics or a related Social Science by the start date of appointment. Preferred qualifications Excellent analysis and writing skills Experience with quantitative social science research methods Familiarity
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the group are encouraged to develop new data analysis ideas and methods. The successful candidate will also be heavily involved in our ongoing project to develop and build new, high-speed data acquisition
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include a short section setting the context and motivating the work, a main section explaining the research questions and expected methods and data that will be used, and a short final section that