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machine learning techniques to raw ultrasound data. The project involves developing novel algorithms that integrate physics, engineering, and AI to extract meaningful and clinically relevant information
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the Principal Investigator (Dr. Shengli Zou). Conduct advanced computational chemistry research with a focus on nanophotonics, quantum mechanics, and machine learning–assisted modeling and simulations. Prepare
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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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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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of work and learning free of discrimination on the basis of a person’s age (40 or older), disability, whether actual or perceived by others (including service-connected disabilities), gender (including
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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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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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, electrical and computer engineering, data science, informatics, biomedical engineering, or a related field. Preferred: Demonstrated expertise in AI-driven drug discovery, machine and deep learning
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service on departmental committees. The department also has curricular needs in philosophy of science, ethics, philosophy of law, and political philosophy. The candidate may also be asked to teach courses
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University of New Hampshire – Main Campus | New Boston, New Hampshire | United States | about 2 months ago
inventories) with satellite remote sensing data (e.g., spaceborne lidar and/or hyperspectral observations) and apply machine learning and deep learning approaches to address these questions. This position is