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the primary point of contact for the Xenocs Xeuss 3.0 SAXS by supporting users through leading training sessions, providing guidance on techniques and data analysis, and running samples on behalf of external
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the collected data. Completing and publishing a deep learning model for high air pollution events in the Mon Valley. Maintain the Pittsburgh ASCENT site in collaboration with PhD students and ACHD. Mentoring of a
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the objectives of the research project, and such other tasks as assigned to you. Core responsibilities include: Collecting and analyzing data, including periodical/literature search, and utilizing specialized
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researchers with a PhD in machine learning or a related area who are enthusiastic about collaborating with colleagues in the social and behavioral sciences and public health. The ideal candidate will have a
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with a PhD in machine learning or a related area who are enthusiastic about collaborating with colleagues in the physical sciences particularly physics, astrophysics, and cosmology. The Simons
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technologies, including, but not limited to, AR/VR, AI, cloud computing, cybersecurity, data analytics, IIoT, machine learning, simulation and virtual modeling. The appropriate infusion of these modern-era