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Field
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Systems Modeling. This position focuses on leveraging and developing new equation learning methods, such as Physics-Informed Neural Networks (PINNs), Biologically Informed Neural Networks (BINNs), and
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related dementias. Project Overview Leveraging newly developed brain organoid models, this project will: Utilize human iPSC lines from AD patients to develop multiple tiered brain organoid models
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Science, Computer Science, Applied Mathematics, Engineering and Physics. Additional Qualifications Expertise (or desire to work) in reduced order modeling, Causal inference and High Performance Computing
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applicant will work closely with industry sponsors who will help to guide the project. The Elbert lab and the industry partner are interested in developing mechanistic, predictive models of neurodegenerative
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Address Tucson, AZ USA Position Highlights The Lunar & Planetary Laboratory at the University of Arizona has an opening for a Postdoctoral Research Associate I in the field of modeling of planetary
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methodologies and tools for economic and ecological analyses of hydropower systems. The position will involve the development and use of computer models, simulations, algorithms, databases, economic models, and
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SPECIFICS Postdoctoral Researcher in Defect Modeling The Pennsylvania State University Department of Nuclear Engineering The Computational Nuclear Materials Group (https://sites.psu.edu/cnmg/ ) at Penn State
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The University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 1 day ago
numerical approaches (e.g., Large Eddy Simulation, Direct Numerical Simulation, multi-scale process modeling) and laboratory wave tank experiments to explore turbulent seawater dynamics adjacent to ice
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at Michigan Tech. The work will focus on building advanced reservoir simulation models coupled with geomechanics, performing risk assessments using NRAP tools, and contributing to leakage risk quantification
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Job Description Job Responsibilities: -Design and implement AI/ML models to analyze large-scale agricultural datasets (e.g., field trials, satellite imagery, IoT sensor data). -Develop pipelines