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develop statistical, mathematical, causal-inference, simulation, and machine-learning methods using large-scale flight trajectory and operational datasets. Research may cover airport surface congestion
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We are seeking a Research Assistant to support research in machine learning and operations research, with a focus on multi-agent reinforcement learning and stochastic inventory control
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Materials Design - Develop and apply machine learning and AI models (e.g., ML interatomic potentials, generative design, reinforcement learning) to predict and design materials. - Perform first-principles and
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Natural Language Processing (NLP): Candidates should have some understanding of machine learning principles, particularly in the field of NLP. The candidate should be familiar with transformer architectures
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evaluation of human-centered artifacts. This would include working on research projects involving assistive technologies for people with visual impairments, personalized learning platforms, and Human-Computer
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, Physics, Computer Science, or a related discipline. Demonstrated research experience in computational chemistry, atomistic simulations, machine learning, or artificial intelligence for materials and
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, • Vehicle dynamics and control, • Machine learning and AI, and • Data privacy and security. In addition to research, the selected candidate is expected to help draft research proposals and supervise
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results in the areas of geometric data science and machine learning Designing, implementing, and testing algorithms Engaging in scientific exchange with collaboration partners of the project Preparing
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biophysics and machine learning for the accurate prediction and design of functional enzymes; and explore their real-world applications. Job Requirements Ph.D. in a relevant area, e.g., Chemical Engineering
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, research, startup, or product development environments. Experience integrating analytics, AI, machine learning, or data-driven features into applications. Active GitHub portfolio or examples of deployed