111 computer-science-programming-languages-"the"-"U.S"-"O.P" Fellowship positions in United States
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symposium on campus that involves collaboration with other programs and units on campus, such as the Humanities, Health & Medicine Program, the Dell Medical School, and the College of Natural Sciences Present
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electrical engineering, computer science, physics, mechanical engineering, applied math, theoretical neuroscience, or statistics. In depth experience with control theory and machine learning for analysis
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Lawrence Berkeley National Laboratory’s (LBNL ) Chemical Sciences Division is seeking a Postdoctoral Fellow in Digital Chemistry and Spectroscopy. This exciting opportunity focuses
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theorists and experimentalists; mentor interns and junior researchers. Champion safety & cybersecurity in all collaborative and computational activities. What is Required: Ph.D. in Chemistry, Physics
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will conduct cutting-edge research at the intersection of AI/DL modeling, hydrological sciences, and weather/climate sciences, with a focus on applications to extreme weather forecasting (hurricanes
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processing, and sensor integration. Strong background in signal processing, computer vision, or machine learning. Proficient in programming languages such as Python, C++, and MATLAB. Strong publication record
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that machine learning applications are developed with ethical considerations in mind. Participate in regular meetings with the research group. Required Qualifications* Ph.D. in Electrical Engineering, Computer
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date) in Data Science, Computer Science, Statistics, Environmental Science, Sustainability Studies, or a related field with a strong quantitative focus. Applicants with an interdisciplinary degree
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-up, attend meetings, etc. Write manuscripts. Contribute to grant proposals. Analyze data from projects, make plots, present results. What is Required: Ph.D. degree in electrical engineering, computer science
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, or computer science, or MD with comparable research experience Considerable experience in computer programming and computational biological applications. A strong background in statistics and biology. Experience