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Field
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will demonstrate: A Masters or PhD in engineering, environmental science, or a closely related discipline Strong analytical and numerical capability, including experience with modelling, GIS and coding
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computational theory, analysis, and modeling of neuroscience data and concepts. Proposals focused on disease mechanisms or that do not contribute to our understanding of non-disease states are not suitable
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platforms, environmental prediction models, and visualization tools as needed. Additional tasks include field experiments to test the instruments and validate models; preparing data reports and presentations
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: Knowledge of kinetic modeling and/or machine learning interatomic potentials. Background Investigation Statement: Prior to hiring, the final candidate(s) must successfully pass a pre-employment background
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models. Working with conventional laboratory reagents, instrumentation, and molecular/tissue biology techniques. Operating and generating data utilizing advanced instrumentation/techniques, flow cytometry
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University of North Carolina at Charlotte | Charlotte, North Carolina | United States | about 4 hours ago
optimization algorithms and/or machine learning models for complex systems or real-world applications Experience with large-scale optimization or deep learning systems is highly desirable Duties and
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generate data utilizing advanced instrumentation/techniques, flow cytometry, confocal imaging, live animal IVIS, and CT-PET machines. Designs in vitro and in vivo (murine model) experiments. Record and
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multiphysics modelling tools. Evidence of publications in reputed refereed journals and presenting at conferences. Capability to contribute towards successfully obtaining external research funding. Some
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organizations with varying technical capacity. Explore applications of AI methods, including large language models and natural language processing, for extracting structured information from unstructured sources
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on the seismic performance of structural components. - Develop consequence models for various structural systems to demonstrate the real-world application of the unified database. - Design and