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on large-scale numerical simulations, instrumented experiments, and onboard robotic data could learn generic representations of local interactions between mobile robots and their environment, enabling
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cuantitativo. Capacidad para trabajar con grandes conjuntos de datos y entornos computacionales. / Experience in data science, data management and optimization, and machine learning and AI techniques. Strong
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and individuals. Ability to handle confidential and sensitive information. Skill in public speaking and presenting information to large groups. Knowledge of and proficiency in experimental design and
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), survival analyses, mixed models, and machine learning techniques. Perform cleaning and documentation of data generated from Institute studies or studies run by Institute investigators, including
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, School of Kinesiology, College of Architecture & Urban Planning, and School of Art & Design to work on robot learning and foundational models, perception and computer vision, manipulation and grasping, and
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. · Demonstrated success in interdisciplinary and team-based research. · Research incorporating innovative methodologies such as biomechanics, digital health technologies, artificial intelligence, machine learning
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from diverse backgrounds including data sciences, computing, statistics, epidemiology and human computer interaction. We collect, analyze, and interpret complex, multi-scale real-world data from large
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areas of statistics, data science, and artificial intelligence (AI). The position will focus on developing and applying novel statistical, machine-learning, and AI methods to advance biomedical and
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(e.g., linear, logistic, and count regression), survival analyses, mixed models, and machine learning techniques. Capacity to adapt to novel model execution is required. Procuring external data sources
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, but are not limited to: Artificial Intelligence and Machine Learning Generative AI, Foundation Models and Large Language Models Data Science and Data Analytics Data Management and Information Retrieval