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geometric understanding of training in deep neural networks. The position offers excellent training opportunities at the intersection of machine learning and applied mathematics. Qualifications: - Applicants
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). The position requires engagement in pioneering research at the crossroads of machine learning and accelerator physics, aimed at improving the performance and capabilities of our light source facility. Modern
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data-driven methods to learn the underlying physical laws of these complex systems. Both experimentalists and theoreticians are welcome to apply for the postdoc position. Current topics of research
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through research, teaching, and service as appropriate to the position. Program: https://www.2035initiative.com/ Qualifications Basic qualifications (required at time of application) Must have PhD in
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) Applicants must have completed all requirements for a PhD (or equivalent) in Physics, except the dissertation, at the time of application. Additional qualifications (required at time of start) Applicants
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, work independently, learn new skills, and contribute positively to departmental culture. The department is especially interested in candidates who can contribute to the diversity and excellence
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be well supported by a community of postdocs and resident researchers. You will have access to our Learning Hub trainings and other resources for professional development. Your proposed independent