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Field
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National Energy Technology Laboratory (NETL) | Morgantown, West Virginia | United States | about 2 months ago
characterization of hydrate bearing sediments, numerical reservoir simulations for gas production and machine learning application, and basin petroleum system modeling and data analysis, depending on qualification
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National Energy Technology Laboratory (NETL) | Morgantown, West Virginia | United States | 1 day ago
application, and basin petroleum system modeling and data analysis, depending on qualification and project availability. Stipend: The selected participant will receive a monthly stipend commensurate with
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25 Jul 2026 Job Information Organisation/Company MOHAMMED VI POLYTECHNIC UNIVERSITY Research Field Chemistry Engineering Researcher Profile Recognised Researcher (R2) Established Researcher (R3
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months. Preferred Skills: A background in computer and/or data science with some experience in machine learning, multivariate statistical analysis, artificial intelligence, or computer programming. Some
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security advantages? Join us to work on QKD for quantum safe communications in future networks. Information The security of modern communications is threatened by advances in quantum computing which have the
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studies using qualitative, quantitative, and mixed-methods approaches, including surveys, interviews, observations, social network analysis, and analysis of digital trace data. Collaborating with industry
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Biophysical and Biomedical Measurement Group, National Institute of Standards and Technology | Gaithersburg, Maryland | United States | 2 months ago
the Biophysical Metrology and Inference program at NIST, which develops interpretable measurement approaches, physical models, and data-analysis methods to connect biological signals to quantitative mechanism and
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analysis (microscopy, spectroscopy) to investigate the fundamentals of radiation effects in electronics and shielding. Analyze data. Disseminate findings in journals and conferences and monthly presentations
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implementation and evaluation. Support and co-lead pilot studies in real CBL classrooms; contribute to data collection, analysis, and interpretation of the agent's performance, attending to both technical metrics
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(e.g. Python, Julia), You have an interest in, or experience with, machine learning approaches for scientific data analysis. You have a strong interest in interdisciplinary research and enjoy