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physics or related areas prior to the time of employment. Preferences will be given to those with experiences in collider phenomenology, machine learning, effective field theories, positivity bounds
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University of California, San Francisco | San Francisco, California | United States | about 7 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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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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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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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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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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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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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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. UI Health is dedicated to the pursuit of health equity. Learn more: https://hospital.uillinois.edu/about-ui-health This position is intended to be eligible for benefits . This includes Health, Dental
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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