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Field
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-modal data. * Develop and implement algorithms to process, clean, and transform large datasets to support research objectives. * Conduct exploratory data analysis, hypothesis testing, and develop data
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machine learning algorithms, conducting computationally intensive statistical analyses, summarizing research findings, and editing research papers. In addition to working closely with faculty, senior
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Applied Machine Learning: Knowledge of integrating machine learning models and algorithms into applications. • A knowledge of applied computer science and AI in software/app development and rapid prototype
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writing C++ and PyTorch. Training and debugging RL agents. Imitation Learning algorithms for robotics or autonomous vehicles. Prior work combining RL with human data or feedback. A track record of code
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assist in providing customers with state-of-the-art visualization and decision support. The primary focus will be researching and developing feasible algorithmic solutions to our sponsor’s complex problems
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candidate will design and develop digital twin algorithms for computational fluid dynamics, contributing to innovative solutions in healthcare software systems. This role involves collaboration with research
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implementing RF signal processing algorithms on edge processors including RF System-on-a-Chip (RFSoC) devices with applications in radar and/or signal intelligence. Responsibilities and Essential Duties 1
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with graduate students, postdocs, and senior researchers. They will be well integrated into the lab's research and be expected to understand the methods and algorithms in use by or being developed by
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vision, controls, cyber-physical systems and their security, hardware security, and machine learning and their security. The work will include algorithm design, prototype implementation (e.g., in Matlab
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of non-interventional research programs for the SCCC Myeloma Institute, ensuring adherence to institutional, state, and federal guidelines. Devises new algorithms and pipelines to enhance research