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group actively engages in research encompassing theoretical modeling of quantum systems, the development of optimization algorithms, and the exploration of light-matter interactions. On the experimental
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theoretical modeling of quantum systems, the development of optimization algorithms, and the exploration of light-matter interactions. On the experimental side, we investigate quantum properties of nitrogen
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important for renewable energy production and production variability will be an advantage. Knowledge of machine learning or optimization will be an advantage. Applicants must be able to work independently and
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. Knowledge of machine learning or optimization will be an advantage. Applicants must be able to work independently and in a structured manner and demonstrate good collaborative skills. Applicants must be
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fellow will build a library of high-resolution experimental data of oligosaccharides, against which they will critically assess the current MD models and perform data-driven optimization. The verified
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assess the current MD models and perform data-driven optimization. The verified models will be used to reveal the conformational ensemble and dynamics of oligosaccharides in the human glycome, in
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disorders (e.g., Cushing’s disease, metabolic syndrome, cardiovascular disease, sleep and shift work disorders). Beyond clinical applications, the research may contribute to optimizing athletic performance
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routes to identified target compounds and using these to produce compound libraries for further evaluation in various assays. We plan to use the departments laboratory for automated chemistry to optimize
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contribute to optimizing athletic performance, eating habits, and sleep cycles. In collaboration with Stanford University’s Center for Genomics and Personalized Medicine, we aim to advance real-time monitoring