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automation, computational drug design, machine learning, and software engineering. The ideal candidate will contribute to innovative research and the development of advanced computational tools within our lab
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research projects in computer vision, machine learning, AI, and robotics. Projects may include physically-grounded AI guidance agents, modeling of multimodal data, and generative AI systems for situated
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surveys, focus groups, organizational audits, and stakeholder convenings. Coordinate data collection, management, analysis, and interpretation to inform program development and institutional recommendations
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program. Our interdisciplinary team investigates the biological mechanisms linking obesity to breast cancer and explores how lifestyle (exercise/nutrition) and pharmacological interventions can reduce
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publications. Required Qualifications* PhD (or equivalent degree) in neuroscience, data science, biomedical engineering, computational neuroscience, psychology, or a related field. Hands-on experience and high