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proposal development and preparation of high-quality publications in top computer security, privacy, embedded systems, sensing, and networking venues. ● Pursue research topics such as protecting
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place technologies and to develop digital twin algorithms to assist clinicians in developing treatment plans for patients with chronic diseases. Analyzes complex sensor data, works with a
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to form complex ecosystems. Position Summary An open postdoctoral researcher position is available to work on understanding the role of forest functional and structural diversity in regulating vertical
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limited to artificial intelligence, computing theory (algorithms, complexity), data science, statistics, discrete mathematics (graph theory, combinatorics), game theory, machine learning, optimization
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of improving human health. Aligned with Rutgers University–New Brunswick and collaborating university wide, RBHS includes eight schools, a behavioral health network, and six centers and institutes that focus
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adaptation, assisting communities in their complex decision making related to relocation and adaptation in-place, and for determining the social cost of in-action related to public health outcomes
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network excitability following traumatic brain injury using a variety of techniques, including in vivo whole-cell recording and two-photon microscopy, brain slice physiology, and genetic manipulation
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on Compact Manifolds with Novel Feedback Coupling and Complex Network Optimization." Specifically, the selected candidate will address Research Objective (RO) (2) Investigate the dynamical phenomena of orbital
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areas, which will deliver over 10x the performance of Perlmutter and connect directly to DOE experimental and observational facilities. You will help 12,000+ science users run complex, data-intensive
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-omic, multi-context gene regulatory networks (GRNs) from large-scale single-cell datasets. We are pioneers in GRN reconstruction from single-cell multi-omics, including: Causal GRNs from Perturb-seq