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, such as pulse design or numerical optimization Background in data-driven or machine-learning approaches relevant to optimal control (e.g., model learning, reinforcement learning) What you will do Take
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in the areas of clinical data processing, including but not limited to Natural Language Processing, Machine Learning, Advanced Analytics; bring awareness to the technical team of new technologies
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, coordination, and management of information and data, development and implementation of computer models and simulations, development of research materials (figures, presentations, papers, etc.) and work
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: Machine Translation, Large Language Models, Automatic Speech Recognition, Automatic Speech Synthesis, Computer-Assisted Translation (CAT), Software Localisation, Terminology Extraction and Management
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Science, or a related technical field Master's or PhD degree in Machine Learning, Computer Vision, or related areas will be advantageous Preferred Qualifications: Experience with biological/ecological
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to forge relationships with industry, national laboratories, universities, and other organizations in the Chicago area. The School of Computing has several centers of excellence, including Big Data, Cloud
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• Demonstrated research expertise in data science areas such as: machine/deep learning, big data mining and analytics, visualizing and communication data, data driven modeling and prediction, rich media data
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adaptation, synthetic data generation, and cross-modal learning to enable models that generalize across defect types and machine configurations. This ensures scalable, accurate defect detection even in low
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, this work will establish a foundation for future interventions to extend human healthspan. Techniques: Data mining Transcriptomics Proteomics Statistical Analysis Machine Learning Genetics Molecular Biology
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, these tools have historically suffered from high computational costs preventing their large-scale use in an industrial environment. The role holder will develop and deploy theory-guided machine learning