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Field
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to the development of data algorithms and specialized computer software for identifying and classifying components of biological systems (such as DNA and protein sequences). Support the creation and maintenance
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. Research will evaluate how to foster AI literacy and “appropriate skepticism” while examining the cognitive risks of overreliance, algorithmic bias, and data privacy in production animal surveillance
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assessment, and hydrographic research. This role translates research algorithms into reliable, documented, and reproducible production software; collaborates with scientists, engineers, students, and external
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to support dynamic digital twin simulations. Multimodal Data & Sensor Fusion: Implement or accelerate processing and inference algorithms for real-time multimodal data, natural language, signal, and image
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human health behaviors, environmental factors, social and economic factors, policies and genetic determinants of health, into studies focused on the treatment and prevention of disease, as
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datasets and data models ● Experience working with a DBMS in both on-cloud and on-premise environments ● Experience in C++ programming ● Problem solving skills and ability to think algorithmically
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datasets and data models ● Experience working with a DBMS in both on-cloud and on-premise environments ● Experience in C++ programming ● Problem solving skills and ability to think algorithmically
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 2 months ago
vision problems, implementing and evaluating algorithms. The research assistant will also write papers to summarize the contributions of the proposed algorithms. Minimum Education and Experience
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 2 months ago
vision problems, implementing and evaluating algorithms. The research assistant will also write papers to summarize the contributions of the proposed algorithms. Minimum Education and Experience
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algorithms (e.g., NPE) for strong gravitational lensing parameter estimation. Implement domain adaptation techniques to improve model robustness and transferability between simulated and real survey data