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on concrete materials and structures. • Experience with concrete mixing and laboratory testing. • Experience with statistical analysis of experimental data and optimization techniques. Application
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increased independence and less supervision, with an emphasis on optimizing trial processes and ensuring adherence to regulatory standards. This is a full-time, 40-hour per week position. As a hybrid role
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community. We are committed to excellence, providing unparalleled expertise, and maintaining a world-class standard in service. Please visit us at: https://fs.ucf.edu/ or Facebook and Instagram: UCF
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. Performance Optimization: Experience optimizing AI models for both accuracy and computational efficiency in resource-constrained environments. Security Awareness: Knowledge of security best practices for AI
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cases: Logistics, shipping and business transactions; Ship design and construction; Voyage planning and optimization; Condition monitoring and maintenance; Crew training; Maritime traffic and ship
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, internal, and crop sensing layers. Actions include modeling schemas for unstructured and structured data, such as pH and CO2 time series, defining data partitioning policies to optimize historical queries
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implementing an architecture, such as a Lakehouse, capable of storing heterogeneous data from external, internal, and crop sensing layers. Actions include modeling schemas for unstructured and structured data
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subjects of the Computer Engineering program, including Operating Systems, Data Structures, Algorithms, Optimization, Machine Learning, Reinforcement Learning, Computer Vision, and Pattern Recognition, as
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therapeutics by protein design. This project will apply cutting-edge generative AI methods—including protein design, structure–function prediction, and multimodal learning—to develop and optimize a new
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simulations and large-scale DFT calculations at finite temperature using the Special Displacement Method (SDM) and its anharmonic extension (ASDM). Model polymorphous structures beyond the standard monomorphous