2,741 phd-studenship-in-computer-vision-and-machine-learning Postdoctoral positions in United States
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National Aeronautics and Space Administration (NASA) | Pasadena, California | United States | 3 months ago
wildland-urban interfaces— across a wide range of climate conditions. Using machine learning methods, we will optimize the weightings of each contributing factor and identify the key drivers of wildfire risk
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Stanford University / SLAC National Accelerator Laboratory | Menlo Park, California | United States | about 15 hours ago
-QIS [#29764] Position Title: Position Location: Menlo Park, California 94025, United States of America [map ] Subject Area: Quantum Information Science Appl Deadline: 2025/08/31 11:59PM (posted 2025
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Duke University, Electrical and Computer Engineering Position ID: Duke -Electrical and Computer Engineering -POSTDOCYIRANCHEN [#30336] Position Title: Position Type: Postdoctoral Position Location
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research team including experts at NYUAD and Cleveland Clinic Abu Dhabi with a demonstrated track record in vision science, neuro-imaging, neuro-ophthalmology and deep learning. 2) Using Advanced Imaging
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on reliability, security, and resilience of electric power systems and microgrids and stability analysis and Scientific Machine Learning (SciML) for microgrid applications. The successful candidate will be
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Program. The research activities will focus on climate-driven input, transport, and fate of plastic debris in the Lake Ontario watershed and nearshore region. Job Responsibilities Applicants must hold a PhD
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analysis Large language models or machine learning/predictive modeling for longitudinal data analysis Strong computer programming skills Strong mathematical or statistical skills Ability to work as a part of
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: Physics / Nuclear Theory , quantum information/computation Appl Deadline: none (offers accepted posted 2025/04/09) Position Description: Apply Position Description The Department of Physics
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physics. Participation in detector research and development, especially for low-latency event selection in trigger systems. Development of new artificial-intelligence and machine-learning techniques
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 13 hours ago
professionalism, enhance learning, and create personal and professional sustainability. We optimize our partnership with the UNC Health System through close collaboration and commitment to service. OUR VISION Our