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-generation communication infrastructures. QUALIFICATIONS: Ph.D. in Applied Mathematics, Electrical & Computer Engineering, Computer Science, Industrial Engineering, or a closely related field by start date
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autonomous, closed-loop (“self-driving”) laboratory workflows. The role integrates catalyst synthesis, high-throughput reactor testing, and in situ/operando characterization with machine-learning and agentic
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machine learning techniques to raw ultrasound data. The project involves developing novel algorithms that integrate physics, engineering, and AI to extract meaningful and clinically relevant information
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for Systems Neurogenetics of Addiction (CSNA), together with additional datasets from ongoing NIH-funded studies at The Jackson Laboratory. A major focus of the project is cross-species translation. Using
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with additional datasets from ongoing NIH-funded studies at The Jackson Laboratory. A major focus of the project is cross-species translation. Using publicly available human genetic, microbiome, and multi-omic