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machine learning and computational methods Work with medicinal chemists for drug discovery projects Act as key member of a multidisciplinary drug discovery project team, assisting with development
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applications for a fully funded postdoctoral associate position. This position, available immediately, focuses on developing machine learning and deep learning methods for analyzing large-scale single-cell DNA
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of Nevada, Reno invites applications for a Postdoctoral Scholar position specializing in Chemical Biology to work in the Laboratory of Dr. Yftah Tal-Gan, Professor of Chemistry. The interdisciplinary project
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) calculations, microkinetic modeling, and machine learning methods, and in developing machine learning interatomic potentials (MLIPs). Minimum Qualifications: Ph. D. in Physics, Materials Science, Chemistry
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, condensed matter physics, or a related field, with experience in first-principles calculations and/or machine learning for materials research being highly desirable. For additional information about this
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and computer engineering, data science, informatics, biomedical engineering, or a related field. Job Description: A Postdoctoral Associate position in AI-driven drug discovery and/or computational
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Postdoctoral Teaching Fellow (non-tenure track) with an anticipated start date of August 1, 2026. Primary responsibilities will include teaching the equivalent of eight courses per year (four per semester) and
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are especially interested in individuals with both philosophical background and an understanding of recent machine learning technologies to work on topics related to explainability, interpretability, and/or
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) Cleaning and managing large datasets from administrative data sources or online learning platforms Causal machine learning (e.g., double/debiased machine learning (DML), causal forests, generic ML) Learning
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About the Opportunity SUMMARY The lab of Professor Albert-László Barabási is looking for Postdoctoral Research Associates in the area of network science, nutrition, biological networks, machine