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checks that comply with IRB/ethical standards. Design and implement computer-vision algorithms. Develop, test, and refine deep-learning models (e.g., detection, segmentation, tracking) in PyTorch
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• Organize clinical program patient and study participant charts and files, and distribute to appropriate locations • Collect required data from study coordinators and enter onto clinical research forms and
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algorithm sensing, navigation and control of robot systems, including mobile robots and robot arms/manipulators; designing and implementing algorithms for machine learning, computer vision, and/or estimation
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only within dense, highly interacting systems, inaccessible to standard techniques. To probe such regimes requires the development of fast and scalable algorithms for many-component systems, and of
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to successfully perform all required duties. Office/research environment; some travel and weekend work is required. UTRGV is a distributed institution, which requires presence at multiple locations throughout
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Responsibilities Organize and maintain study participant charts and research files. Prepare and distribute participant letters and study materials. Track and maintain logs for participant incentives. Accurately
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basis. Order and maintain log of gift card/incentive cards to be distributed to study participants. Follow all Sponsor and IRBs policies and HIPAA regulations Support Department of Medicine Research
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records. Engage in open and timely discussion with mentor regarding possession or distribution of material, reagents, or records belonging to their laboratory and any proposed disclosure of findings
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algorithms, environmental time series and anomaly detection. SALARY: Up to $6,250.00 Monthly ($75,000.00 Annual, Approximately) NOTE This is a grant funded position with continued employment contingent upon
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Scientific Machine Learning. The successful candidate will develop and deploy state-of-the-art SciML algorithms in high-performance computational physics codes. We accept applications from all candidates with