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this tool and learn more about the total value of your benefits, please click on the following link: https://resources.uta.edu/hr/services/records/compensation-tools.php CBC Requirement It is the policy
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to eligible team members. Learn more at: https://hr.duke.edu/benefits/ Essential Physical Job Functions: Certain jobs at Duke University and Duke University Health System may include essential job functions
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the creation of high-precision digital twins. Activity 1: Integration of Photometric Stereo in Meshroom - Implement processing nodes for normal field and intrinsic color estimation. - Integrate deep learning
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University of California, San Francisco | San Francisco, California | United States | about 13 hours ago
for this position is $58,100 - $123,500 (Annual Rate). To learn more about the benefits of working at UCSF, including total compensation, please visit: https://ucnet.universityofcalifornia.edu/compensation-and
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for Health Access as the Director of Data Science, Machine Learning and AI and be responsible for the research, design, development, and maintenance of advanced software systems that contribute to clinical
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well as the programmes in statistics, cognitive science and innovative programming. Read more at https://liu.se/ida The position is based at the Division of Statistics and Machine Learning (STIMA). We conduct research
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through external grants or other mechanisms. External funding is also expected to support student research and experiential learning opportunities. The specific appointment split will be determined based
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. The University of North Georgia is currently accepting applications for a Data Science Intern - Institutional Student Worker. This position will: Learn how to apply statistical and machine learning techniques
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Three-Year Lecturer in the School of Earth, Environmental, and Marine Sciences (SEEMS) - Brownsville
Tenure Status Non Tenure Track FTE 1 Scope of Job The School of Earth, Environmental, and Marine Sciences (SEEMS) welcomes applications for a Lecturer in Geology to instruct in the Environmental Sciences
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his collaborators, Yan Li in the Electrical Engineering department, and Daning Huang in the Aerospace Engineering department in the area of Scientific Machine Learning. The project is to develop