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to be part of a unique and diverse community that works on high-impact research, educational, business, and societal problems. Position Summary The Machine Learning Researcher - Epidemiology will report
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diverse student population, competitive degree offerings and stellar faculty. For more than 140 years, the University of Arkansas at Pine Bluff has worked to create an environment that inculcates learning
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and engineers. Key Responsibilities 1. AI Model Development & Testing Assist in developing machine learning and deep learning models for medical imaging analysis. Implement and fine-tune models using
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, for up to two adoptions in your household. To learn more, please visit: https://www.hr.upenn.edu/PennHR/benefits-pay
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benefits , including medical, dental, and vision. To learn more about the Center on Race, Inequality, and the Law, visit http://www.law.nyu.edu/centers/race-inequality-law . Questions may be addressed
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. Qualifications Minimum: Master’s degree in engineering or a related discipline (e.g., Mechanical, Electrical, Computer, Energy, Materials, Mechatronics). Preferred: PhD’s degree in a relevant field. Prior
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University of California, San Francisco | San Francisco, California | United States | about 1 month ago
(e.g., liberal arts, economics, public policy, and/or pre-medical background) and / or equivalent experience / training Skills to learn organization-specific and other computer application programs Basic
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, gender, age, marital status, disability, public assistance status, veteran status, sexual orientation, gender identity, or gender expression. To learn more about diversity at the U: http
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on applying computer vision, machine learning, and sensor fusion to automatically detect, classify, and localize defects, improving the scalability and reliability of building inspection. Research on 3D
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Job Description The Vlaisavljevich Lab (https://ultrasound-lab.beam.vt.edu) is looking for a part-time research assistant to explore the use of focused ultrasound (FUS) for biospecimen processing