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quality control, machine learning, computer vision, systems/entity identification and recognition, and algorithm development. Demonstrated experience in leading RDT&E teams. Preferred Qualifications
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. Responsibilities Design, implement, and assess advanced underwater acoustic modeling techniques and algorithm development across various disciplines such as signal processing, statistical inference, propagation
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methods development, novel algorithm development and/or in-depth data analysis that facilitates and integrates implementation, visualization, and database management of multi-dimensional clinical and
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on solving the world’s most challenging problems through artificial intelligence and data driven algorithms and systems. CSMD creates the mathematics, artificial intelligence, and architecture-aware algorithms
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genomics into clinical care and advancing rare disease research. This position requires applying variant interpretation algorithms, developing bioinformatics pipelines, completing integrative multi-omic
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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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Communications, this role is responsible for managing multiple social media platforms, producing engaging content, and leading campaigns that build brand awareness and grow community engagement among UCF alumni
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-disciplinary scientists who can use multiple tools and approaches with a desire to advance science at the intersection of soil health and/or water resources with plant production, soil-plant-microbe interactions
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the use of synthetic data in precision medicine research and applications through development of AI algorithms, tools and other processes to allow for the enrichment of clinical data sets Providing training
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, hardware and software projects. Works on algorithm development, optimization, programming, performance analysis and / or benchmarking assignments of moderate scope where the tasks involve knowledge of either