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Field
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applicants will have:*Expertise conducting spatial and statistical analyses*Experience with scientific computer programming in R and Python*Formal training or experience applying quantitative and spatial
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, Anthropology, Political Science, or related fields), earned by the start date. Required Related Experience Demonstrated expertise in qualitative research methods (e.g., interviews, ethnography, case studies
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and optimization of measurement-based quantum computing protocols for quantum simulation of quantum many-body models. Preference will be given to candidates familiar with the stabilizer formalism and
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, Anthropology, Political Science, or related fields), earned by the start date. Required Related Experience Demonstrated expertise in qualitative research methods (e.g., interviews, ethnography, case studies
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data analysis methods. The PDR will work in close collaboration with LCLS-II staff and eXn graduate students. Experimental results will be interpreted in an interdisciplinary environment including
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methods (e.g., community-based participatory research, interviews, focus groups, photovoice). Skilled in qualitative data analysis and community-based approaches. Demonstrated commitment and ability
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methods that aim to transform scientific discovery and leverage high-performance computing. Specifically, this will include research in : 1. Developing large-scale agent-based and other complex systems
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-based high-resolution surface-sensitive methods. In addition, working with the APS staff scientists, the successful candidate will demonstrate the applications to probe surface and interface nanomaterials
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. Areas of application include lithium-ion batteries, high-salinity water treatment, and separations. The researcher will employ molecular dynamics (MD) and quantum mechanical (QM) methods to develop and
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, wearables such as Actigraph data analyses), formal supervision and mentoring of lab members at earlier career stages on independent research projects, grant writing, leading independent research and