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broader university. The Postdoctoral Research Associate will be responsible for conducting field, laboratory, and/or computer modeling studies to address research questions in the Geological and/or
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proposal development and preparation of high-quality publications in top computer security, privacy, embedded systems, sensing, and networking venues. ● Pursue research topics such as protecting
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National Energy Technology Laboratory (NETL) | Pittsburgh, Pennsylvania | United States | about 18 hours ago
lab results to predictive reservoir models. Through this project, the participant will learn about hands on lab experience, modeling, and presenting and publishing results. The participant will: (1
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computational thermodynamic (CALPHAD) software, such as Thermo-Calc, DICTRA, PANDAT, or FactSage. Proficiency in materials data analytics, including correlation analysis and machine learning techniques. Preferred
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://educationendowmentfoundation.org.uk/projects-and-evaluation/projects/talk-with-tales-for-children-twitch-trial ). TWiTCH is a professional development programme for nursery practitioners that aims to teach practitioners how to use
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. · Strong background in machine learning/AI and hands-on experience with large, heterogeneous datasets. · Practical experience with computer vision and/or spatio-temporal modeling (object detection
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a unique opportunity to work in a cutting-edge, interdisciplinary environment, leveraging a novel in-vitro model of the human uterus and/or cutting edges machine learning techniques to make
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able to manage multiple and rapidly changing priorities and have ability to quickly learn new skills. Must be detail-oriented, well organized with strong communication skills and ability to work in an
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++, or JavaScript Experience with AI or machine learning techniques, including large language models or agentic systems Experience developing or integrating interactive visualization systems, including web-based
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 2 months ago
solid academic background in polymer synthesis and electrochemistry. The candidates should be self-motivated to explore new areas of studies including AI related and machine learning fields, have evidence