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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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machine learning algorithms. • Has laboratory experience in designing, conducting, and instrumenting structures. • Strong written and spoken communications. • Open to fixed-term contract Apply now
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on integrating machine learning with natural language understanding, including large language models, and maintains strong links to real-world applications in education, healthcare, and beyond. About the role
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U.S. Department of Energy (DOE) | Washington, District of Columbia | United States | about 23 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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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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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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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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, 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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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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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