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Field
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. Preferred qualifications: Strong methodological training in statistical inference, computational statistics, reinforcement learning, or optimization. Experience with Bayesian statistics, adaptive clinical
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on the integration of clinical, textual, imaging, and other heterogeneous data modalities to advance AI methodologies in translational research. Design, implement, and rigorously evaluate novel machine learning and AI
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Argonne’s core values of impact, safety, respect, integrity, and teamwork Preferred Qualifications Experience with active learning, Bayesian optimization, adaptive experimental design, reinforcement learning
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, deep reinforcement learning, and human-machine interaction. Facilitate strategic collaborations across departments within the College of Engineering and with the UM Miller School of Medicine, to advance
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polymers via molecular designation Preparation of reinforced polymer composites Development of highly efficient eco-friendly fire-safe strategies for polymers In-depth understanding of the fire behaviors of
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, or reinforcement learning. Experience with high-performance computing (HPC). Experience supervising students or junior researchers. What you will do As a postdoctoral researcher, you will: Develop machine-learning
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Center (MPRC), University of Maryland School of Medicine (UMSOM). The project involves the use of fMRI and computational modeling methods to investigate decision-making and reinforcement learning in people
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continual learning, active learning, reinforcement learning, closed-loop learning, or human-in-the-loop AI workflows. Experience with agentic AI frameworks, tool-using LLMs, workflow orchestration, AI
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duties as required. The nature of the duties are such that they require knowledge of an advanced type in a field of science or learning, are predominantly intellectual and varied in character, and require
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are desirable. We particularly encourage applicants with expertise in Multi-scale Modeling, Evolutionary Computation, Diffusion models, Reinforcement Learning. The successful candidate will work in a highly