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Current Employees: If you are a current Staff, Faculty or Temporary employee at the University of Miami, please click here to log in to Workday to use the internal application process. To learn how
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U.S. Department of Energy (DOE) | Washington, District of Columbia | United States | about 6 hours ago
, and Machine Learning) or Data Science. Stipend $700.00 Weekly Point of Contact Renee Eligibility Requirements Citizenship: U.S. Citizen Only Degree: High School Diploma/GED, Associate's Degree
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, Bioinformatics, Computational Biology, or related fields. Strong foundation in AI, statistical modeling, machine learning, or high-dimensional data analysis. Proficiency in programming languages such as R, Python
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to groom the next generation of leaders, thinkers, and innovators to thrive in the digital age. Located in the heart of Asia, NTU’s College of Computing and Data Science is an ‘exciting place to learn and
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surveillance and preparedness planning using multiple modeling approaches. The successful candidate will develop and implement statistical and machine-learning models, integrate multi-source ecological datasets
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or electrochemical system PhD in Chemistry/Materials Science/Physics Encourage initiating activities on MOF development, devising, and analytical process Experience in machine learning will be preferred Good oral and
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to work on cutting-edge research at the intersection of deep learning and computer systems. The successful candidate will join an international and collaborative research environment and contribute
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engineering, as well as computer vision, imaging, hyperspectral imaging, machine learning techniques in food and agricultural area, is desired. A understanding of modern AI model development Stipend $70,000.00
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Description Our Commitment Texas A&M University is committed to enriching the learning and working environment by promoting a culture that respects all perspectives, talents & lived experiences. Embracing
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to classify horses into multiple risk categories (e.g., very low, low, moderate, high, and very high) and also examine a new machine learning method that could improve performance in the TBs. Work to finalize