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About the Opportunity Conduct research on machine learning, control theory, and synthetic biology. The work will combine tools from dynamical systems, control theory, and the theory of algorithms
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biocompatible sensing platform development, electron transfer and spin states in metalloproteins, and nanoscale dynamics in biological membranes. There is substantial scope to shape a specific project around the
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engage in collaborative work with cell and developmental biologists. Expertise in agent-based models, continuum PDE descriptions, dynamical systems, and/or ML-based surrogate model discovery are strongly
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and data science. This cycle's focus is on AI-powered data analysis to advance hypothesis-driven research related to addiction. Computational analysis of previously collected data can increase the speed
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under this program are jointly selected to enhance the JAX/Roux partnership, align with each institution's strategic priorities, and integrate biological and data science. This cycle’s focus is on AI
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. The research focus is on developing and applying first-principles-based and data-driven computational methods to understand multiscale processes and accelerate chemical discoveries for renewable energy
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dynamics simulations, sampling techniques, machine learning, or quantum computing; experience in two or more areas is a strong plus Strong oral and written communication skills with a willingness to
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dynamics simulations, sampling techniques, machine learning, or quantum computing; experience in two or more areas is a strong plus Strong oral and written communication skills with a willingness to
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a Postdoctoral Research Associate to train in interdisciplinary projects involving developing new AI-driven Molecular Dynamics (MD) simulation methods and apply them to drug discovery in multiple
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behavior and nonlinear dynamics. The position also includes mentoring graduate and undergraduate researchers and contributing to sponsored research reporting. This is a full-time, fixed-term postdoctoral