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Field
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Responsibilities Conduct research in computational methods for environmental and engineering applications. Develop and analyze numerical algorithms, reduced-order models, and machine-learning-enhanced simulation
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Hey machine learning enthusiast with a love for physics and complex systems, will you help us develop a new generation of road traffic prediction methods? Job description Road traffic is a highly
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experiment with multi-agent reinforcement learning workflows that coordinate component choices and parameters while enforcing system-level feasibility. LLM-assisted engineering workflows: contribute to domain
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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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to validate predictions made by their machine-learning models and drive wet-lab discoveries. The candidate may also have opportunities to work with research software engineers to translate their research
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learning and artificial intelligence Bachelor’s/ Master’s degree in computer science, mathematics, computer engineering, or relevant technical field First-author peer-reviewed published papers (or under
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Fellow Campus Columbia Work County Richland College/Division College of Engineering and Computing Department CEC Electrical Engineering Anticipated Hiring Range $52,526 - to commensurate with
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, machine learning, governance and operations, we aim to address the complex challenges and opportunities of space exploration. CfAI is a large research group in the Department of Physics at Durham University
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therapies, and machine learning and artificial intelligence. Postdoctoral fellows will join a highly collaborative research environment at Rice, with access to a large and growing synthetic biology community
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for reasoning, on efficient and explainable machine learning for extracting and structuring information from large datasets, and on combining the two in neuro-symbolic AI.