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. QUALIFICATIONS: The ideal candidate will have a strong foundation in dynamical systems, control theory, systems biology, and the theory of algorithms and computation. The candidate should possess a PhD in
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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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. 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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in probabilistic temporal event dynamics. Required Qualifications: - PhD in computer science, engineering, biomedical data science, informatics with advantage for experience in conducting research
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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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precipitated withdrawal distinction has clinical significance, and this project aims to detect this separation through model architecture in probabilistic temporal event dynamics. Required Qualifications: - PhD
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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
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About the Opportunity Summary: Professor Tang is hiring a Postdoctoral Research Associate to work in her laboratory. The selected candidate will perform basic research on diffusiophoresis in
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Learning Through Research (CATLR), and the Office of Faculty Development (ADVANCE). We welcome applicants with recently-awarded PhD, EdD, or related doctoral degrees (2023 or later) from the humanities and