63 deep-learning-phd "Computer Vision Center" Postdoctoral positions at Rutgers University
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in digital health, fitness, and rehabilitation. Preferred Qualifications Background in machine learning/deep learning is a plus. Equipment Utilized Physical Demands and Work Environment PHYSICAL
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Docs - Regular Salaried Payroll Designation PeopleSoft Seniority Unit Terms of Appointment Staff - 12 month Position Pension Eligibility ABP Qualifications Minimum Education and Experience PhD degree in
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impact the economy and human well-being? Finally, how can climate and sea-level science more effectively support climate risk management under deep uncertainty? The Lab’s sea-level projections are highly
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impact the economy and human well-being? Finally, how can climate and sea-level science more effectively support climate risk management under deep uncertainty? The Lab’s sea-level projections are highly
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grant proposals and write grant proposals on her/his own to acquire funding. Essential Duties and Responsibilities include the following: Designs, executes, and analyzes research experiments relevant
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in digital health, fitness, and rehabilitation. Preferred Qualifications Background in machine learning/deep learning is a plus. Equipment Utilized Physical Demands and Work Environment PHYSICAL
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Internal Number: 273086 Minimum Education and Experience: This position requires a PhD or equivalent and experience with the C. elegans model system. City: Piscataway State: NJ Location: Rutgers University
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Segment Care image labels; shape active-learning loops and QC. Productionize models with PyTorch, Docker/Kubernetes, and AWS/SageMaker Prepares manuscripts for publications. Ensure all members of the lab
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required as the research progresses. Position Status Full Time Posting Number 26FA0362 Posting Open Date Posting Close Date Qualifications Minimum Education and Experience This position requires a PhD or
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programs Posting Summary The Guzmán-Vélez Lab at Rutgers University (PI: Edmarie Guzmán-Vélez, PhD) is seeking a highly motivated Postdoctoral Associate to join a multidisciplinary research program focused