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theory & experiment: Co‑design validation experiments with experimentalists; iterate models using feedback from new measurements. Automate the workflow: Build Python workflows for simulation and data
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research into control theory of neural population dynamics. This position has the specific focus of developing ML methods to assess the feedback controllability of neural population dynamics recorded from
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Qualifications: Experience in one or more of the following areas: quantum sensing, theory development aimed at experimental searches for new physics, and foundational knowledge of particle physics. The posting
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computer science, mathematics, data science, or any computational science discipline who have received their Ph.D. and have completed no more than three years of postdoctoral work are encouraged to apply. Only one
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field. Demonstrated ability to perform research that addresses fundamental science questions. Demonstrated experience with computational chemistry methods including density functional theory, molecular