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-throughput screening, and online/in situ characterization with active-learning and Bayesian-optimization pipelines to guide experiment selection Build agentic artificial intelligence (AI) workflows and FAIR
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. Strong theoretical expertise in mathematical statistics, information theory, and the principles of signal estimation and detection, with the ability to translate these foundations into rigorous models and
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to develop and apply quantum sensors to problems in biophysics. Quantum sensors exploit the coherence and state-dependent response of individual quantum systems to detect magnetic, electric, and
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both mice and humans. The ultimate goal is to discover novel biomarkers and therapeutic targets that can guide future clinical interventions for substance use disorders. PROJECT 2. Distinct Temporal
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datasets, the fellow will identify conserved biological pathways and microbiome-derived metabolites that contribute to addiction vulnerability in both mice and humans. The ultimate goal is to discover novel
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adversarial AI and out-of-distribution detection. The successful candidate will have a strong track record in top-tier AI publications, outstanding presentation and leadership skills. Responsibilities