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ranging from introductory to more advanced topics such as: Introduction to Computer Science and Software Development Object Oriented Programming and Problem Solving Algorithms and Data Structures
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manner. Collaborative Innovation: Lead and participate in collaborative initiatives aimed at developing novel computational tools, algorithms, and models that address critical challenges in drug discovery
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and pedagogy. Dedicate time to keep pace with the rapid developments in AI technology (such as, but not limited to, new algorithms, tools, AI-powered educational platforms) and in educational research
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and pedagogy. Dedicate time to keep pace with the rapid developments in AI technology (such as, but not limited to, new algorithms, tools, AI-powered educational platforms) and in educational research
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weather events and align closely with established physical climate principles and AI theory. Contribute to algorithm development and foundational model design for innovative AI weather and climate
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works with research staff to extend capabilities in bioinformatics and improve understanding of genetic variation in human health and disease. The Bioinformatics Analyst maintains and performs analysis
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instructor modification, within the overall focus on exploring speech recognizer core components and their underlying algorithms and surveying real applications, with coursework that involves students building
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Description Primary Duties & Responsibilities: Implements: Algorithms and computer software for analyzing omics-based data sets [high-throughput, massively parallel genomic/proteomic/clinical]; Data management
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approaches. Topics include algorithms for genomic data analysis, machine learning applications, and computational modeling of biological systems. Students will gain hands-on experience with commonly used
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expertise—from circuits and architectures to algorithms, models, and systems—and includes opportunities to conduct radiation testing at the NASA Space Radiation Laboratory (NSRL ) at Brookhaven National