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Field
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evaluate distribution networks in OpenDSS; investigate feeder- and system-level impacts of DERs (e.g., load flow, hosting capacity, voltage regulation). Develop and refine T&D co-simulation platforms (e.g
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)—topics including, but not limited to: · Physics-informed neural networks (PINN) & neural operators · Physics-aware convolutional neural networks (PARC) · Meta-learning/transfer
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, human-systems interactions, networks science, information, decision complex networks, dynamic data-driven application systems, the science of information computation and fusion, systems and software
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networks. Understanding of the software development cycle (SDLC) and experience applying it to research or educational software projects. Experience with -omics data analysis, AI-based computational modeling
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deliverables such as datasets, software, scholarly publications and public-facing contributions. The position will be housed in the research group of Prof. Nathan Schneider under the Departments
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eligible employees, based on position, which includes: Medical, prescription drug, and dental coverage Paid vacation, holidays, and various leave programs Competitive retirement benefits, including defined
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, and a broad network of Rutgers-affiliated clinical partners provide an exceptional environment for training in clinically focused computational and cognitive neuroscience research The Postdoctoral
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in bat biology is desired. Strong software skills designing custom neural network and other AI methods is desired. Additional Information: The College of Arts and Sciences is the largest college and
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team environment. Technical Proficiency: Skilled in using office software, technology, and relevant computer applications. Communication: Strong and clear written and verbal communication skills
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that are broadly applicable across the physical sciences but applied initially to x-ray characterization needs. They will publish results in high impact journals, present at conferences and work with the software