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National Energy Technology Laboratory (NETL) | Pittsburgh, Pennsylvania | United States | about 20 hours ago
machine learning to a challenging real-world problem; (3) gain knowledge of data needs for the energy industry; and (4) collaborate and communicate with an interdisciplinary team to extend an existing
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& Machine Learning (AI/ML), data science, or related fields. The role focuses on applying advanced biomedical, translational, and computational methods to address public health challenges and promote health
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, computer science, or engineering within the past 5 years. Previous theoretical and/or computational research experience in tensor networks, Monte Carlo, machine learning or a related field Proficiency in quantum
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, Computer Science, Data Science, Artificial Intelligence, or a closely related field by the start date of employment. Demonstrated research experience in artificial intelligence, machine learning, or a
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Do you want to combine high-throughput directed evolution with machine-learning analysis of deep sequencing data to engineer better antibodies? The Sormanni Lab in the Department of Chemical
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; developing novel ways to combine quantum chemical methods and machine learning; developing quantum algorithms for computational chemistry on quantum computers; and applying existing and new computational
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; developing novel ways to combine quantum chemical methods and machine learning; developing quantum algorithms for computational chemistry on quantum computers; and applying existing and new computational
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& Machine Learning (AI/ML), data science, or related fields. The role focuses on applying advanced biomedical, translational, and computational methods to address public health challenges and promote health
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, and machine learning within the scope of ACAG. The postdoc will have various opportunities for professional development, including contributing to and leading grant proposal development (e.g., external
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modeling and probabilistic machine learning, tackling problems that arise in molecular systems and heterogeneous materials. Eine Postdoktorandenstelle im Bereich physik-informiertes generatives Modellieren