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, statistical mechanics and enhanced sampling, and machine learning for chemistry and materials science. For more information about the research agenda of ICC, see: https://www.simonsfoundation.org/flatiron
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complementary expertise in scientific machine learning and constitutive modeling of anisotropic and compressible materials. Minimum Qualifications Required PhD in mechanical engineering, aerospace
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scholar will develop statistical machine learning and artificial intelligence methods (ML/AI) for diverse biological data in relation to cardiovascular and neurodegenerative diseases. The specific areas
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. Applications area includes but not limited to multimodal SciML models and deep surrogates for various simulations. This position will be in the Machine Intelligence Group in the Center for Applied
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databases, design and analysis of virus-derived RNA libraries, and development of machine learning models for detecting functional elements in viral metagenomic datasets. This project is a
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, multiple machine‑learning algorithms, MOFA and multi‑omics pathway analysis. · Strong background in experimental design, quantitative data analysis, and scientific writing, evidenced by first-author
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representative papers led by dry-lab scientists in our lab (listed as first author), with strong ML/AI components include: https://www.biorxiv.org/content/10.64898/2026.03.04.709438v2 https
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assignments in engineering programs and master's programs. More information is available on our website. (https://kemi.uu.se/angstrom/?languageId=1).About the positionApplications are invited from
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We are seeking creative and energetic candidates with strong experience in multimodal machine learning and human behavior analysis and modeling for a Pre-Doc Specialist position in the Robotics
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We are seeking creative and energetic candidates with strong experience in multimodal machine learning and human behavior analysis and modeling for a one-year Postdoctoral position. Using recent