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project involves interdisciplinary research at the interface of computer science and mathematics, with a focus on bivariate molecular machine learning for modeling molecular interactions and properties
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Molecular Biology Indiana University School of Medicine Email: xcdong@iu.edu Webpage: https://medicine.iu.edu/faculty/19563/dong-x Additional Qualifications Special Instructions Priority Application Review
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, molecular biology, biochemistry, immunology, or related field, with a strong focus on murine myopathy models. Demonstrated experience in in vivo experimentation, including animal handling, dosing, tissue
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technology. Development of cutting edge foundation models for protein design, small molecule property prediction, or protein function prediction Data generation and curation, including molecular simulation and
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and other complex fluids using molecular simulations. In order to make these simulations more computationally feasible, development of coarse-grained models and new Monte Carlo or molecular dynamics
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. Their molecular behavior has profound effects on soil hydraulic properties and biome stability. However, despite advances in continuum modeling of soil and plant-water systems, the molecular-scale mechanisms
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Ware, MD, Phd (https://medicine.iu.edu/faculty/22816/ware-stephanie) is the Chair of the Department of Medical and Molecular Genetics as well as the program leader of the Cardiovascular Genetics Program
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, genetics, bioinformatics, or a related field.Strong background in neurobiology, systems biology, or neurodegenerative disease models. Prior experience with transcriptomic or molecular analyses in cell
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Description In this project, we develop machine learning models for prediction of optical properties of chiral molecules based on DFT/CCSD data which we calculate ourselves. We include derivative information by
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objective of the thesis is to model the intermolecular interactions between metabolites and a chemically modified gold surface in the presence of different ions. Molecular modeling will be performed with