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Field
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flat interconnect AI compute clusters. Machine learning clusters and artificial intelligence (AI) training have become increasingly popular in recent years. The recent introduction of OpenAI’s ChatGPT
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Massachusetts Institute of Technology (MIT) | Cambridge, Massachusetts | United States | 3 months ago
engineering, science EHS, or a related discipline with a minimum of four years of relevant experience; proficiency with Microsoft Word, Excel, PowerPoint, and the ability to learn specialized computer applications for
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National Energy Technology Laboratory (NETL) | Morgantown, West Virginia | United States | about 1 month ago
Engineering, Systems Engineering, Data Science, or a closely related field Experience with artificial intelligence, machine learning, physics-informed neural networks, or reduced-order modeling (ROM
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processing, machine learning, computational imaging, and clinical translation. Beyond your individual research contributions, you will serve as a technical coach for the PhD researchers, helping to align
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solutions. Support projects involving artificial intelligence, machine learning, data platforms, scientific workflows, and advanced computing technologies.· Evaluate and recommend new technologies, tools
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Organization National Energy Technology Laboratory (NETL) Reference Code NETL-Postdoc-2024-Guthrie How to Apply A complete application consists of: An application, including academic history, work
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analytics, including correlation analysis and machine learning techniques. Preferred Qualifications: Experience with microstructure characterization techniques (SEM, EBSD, TEM, XRD). Experience in mechanical
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Vacancies PostDoc Research Position on Developing Technology for Subjective Sporting Experiences Key takeaways Can technology learn to listen to how athletes feel, and not just to what the sensors
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Recognised Researcher (R2) Positions Postdoc Positions Application Deadline 23 Sep 2026 - 23:59 (Europe/Oslo) Country Norway Type of Contract Temporary Job Status Full-time Is the job funded through the EU
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analysis, machine-learning workflows, and graph-based analysis of chemical or biological data, are expected. The researcher will work in an interdisciplinary environment connecting graph algorithms, physical