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Field
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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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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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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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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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University of North Carolina at Charlotte | Charlotte, North Carolina | United States | about 6 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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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
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and animal models of the disease. The selected candidate will also be responsible for analyzing scientific data, writing manuscripts for publication, and helping with grant proposals to agencies such as
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micelles (PCMs) for nucleic acid delivery. Responsibilities PCM assembly and characterization (in collaboration with partners) Kinetics measurements (fluorescence, SAXS) Data analysis, modeling, and design
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computer vision models Preferred Qualifications Candidates with expertise in computer vision, AI/machine learning, and data science are encouraged to apply. Salary Range $70,000 Working Conditions Most work