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on applications to complex, dynamic systems. Design and simulate feedback control algorithms for thermo-mechanical systems and related applications. Collaborate with faculty and student teams to support control
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University of North Carolina at Charlotte | Charlotte, North Carolina | United States | about 10 hours ago
software tools in order to develop biometric algorithms for recognition, spoof detection, fairness in AI, template security, and explainability, and related research areas, as well as paper and report
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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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reconstruction algorithms, and validation in different human diseases. Responsibilities: Design, implement, and evaluate novel MRSI and MRI pulse sequences for research and clinical translation. Develop Extraction
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to apply. Responsibilities include: Algorithm development and/or software design Develop C/C++ or equivalent code to interface with developed hardware and associated interfaces (SPI, I2C, etc) Integration
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Health Access Services This position will be responsible for performing essential tasks required for the creation and revision of Epic scheduling decision trees (algorithms) and for leading other Maestro
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, and the ability to thrive in a highly cross-functional environment. They will primarily be responsible for the development of algorithms and pipelines to analyze vast amounts of electronic health
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preferred. Experience utilizing computer vision algorithms and frameworks, including medical image classification, feature matching, edge detection, image segmentation, and deep learning models like
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scalable deployment Collaborate with researchers, developers, and traders to improve existing models and explore new algorithmic approaches Design and run experiments using the latest ML tools and frameworks
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Overview Our Machine Learning PhD Internship is a 10-week immersive experience designed for PhD candidates who are passionate about solving high-impact problems at the intersection of data, algorithms, and