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computational science expertise. The Computational Science (CPS) Division focuses on solving the most challenging scientific problems through advanced modeling and simulation on the most capable computers
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) mathematics, physics, or a related STEM fields. Strong programming and data analysis skills (e.g., Python, R) Solid understanding of machine learning, deep learning, and data modeling techniques Job Description
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research at the intersection of AI/deep learning, bioinformatics, mathematical modeling, computational topology, scientific machine learning, for systems biology, single-cell genomics and protein design. The
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The position will involve developing new mathematical/computational methods at the intersection of scientific computing and machine learning. At a high level, the project is to build neural network models
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 7 days ago
strong background in Agentic AI and large language models (LLMs), with demonstrated experience in designing autonomous or semi-autonomous AI systems for complex scientific workflows. The candidate will
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critical for this role, as collaborators include health economists, mathematical modelers, and policy experts across several academic institutions. Responsibilities will focus on data preparation, coding and
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, in a relevant field, such as bioinformatics, statistics, genomics, applied mathematics, computer science, electrical engineering or physics. Preferred qualifications A deep understanding of statistical
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collaboration, and other quantum materials, and their modeling and simulation. Projects will include computational discovery of new quantum materials and optical materials and their heterogeneous structures
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modeling of biological systems. One major effort in the lab is the µDicer platform (https://www.nature.com/articles/s41378-024-00756-8(link is external) ; https://www.biorxiv.org/content/10.64898
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Term: 1 year Appointment Start Date: September 15, 2026 Group or Departmental Website: https://med.stanford.edu/s-spire.html(link is external) How to Submit Application Materials: Submit inquiry to Ana