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The University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 11 days ago
machine learning applied to natural language processing, computer vision, or a related area. Strong publication record in NLP, ML, or related areas -Strong programming skills, including TensorFlow and/or
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place to work and thrive. The Program Director will provide the vision and leadership required to support and enhance the mission of the Aviation Manufacturing Quick Careers program. Primary
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Software Engineering: SDLC, requirement analysis, design, testing, optimisation, analysis, simulation, database, computer graphics, distributed systems, computer vision, video analytics Emerging Fields: IIoT
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committed to delivering exceptional results, making it a truly amazing place to work and thrive. The Pharmacy Technician Program Director in collaboration with the Dean of Health Sciences provides the vision
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intelligence models for the analysis of multispectral remote sensing imagery. The main tasks include implementing computer vision and machine learning methods for the detection and prediction of algal blooms in
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page), 2) Curriculum Vitae including relevant publications, 3) Statement of research (maximum 3 pages) including a vision for the research program the candidate hopes to build at Purdue, 4) Teaching
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/Administrative Internal Number: 6982108 Supervisor, Custodial Services Brown University To view the full job posting and apply for this position, go to: https://brown.wd5.myworkdayjobs.com/en-US/staff-careers
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applications. Key Responsibilities: Develop and fine-tune computer-vision models, instance segmentation, and retrieval-based estimation from images and text metadata. Build and evaluate monocular depth pipelines
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employees. This includes medical, vision, dental, paid time off, tuition assistance, wellness & life, retirement- as well as commuting & transportation. Visit https://hr.northeastern.edu/benefits/ for more
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Intelligence and Machine Learning: We invite applications from candidates with expertise in reinforcement learning, computer vision, robotics, and embedded intelligence, and AI hardware acceleration