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Field
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related field are particularly encouraged to apply.We seek candidates with expertise in some or all the following areas: density functional theory, deep learning, high-throughput simulations, molecular
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. Strong knowledge of heterogeneous catalysis and computational chemistry. Experience with computational modeling (i,e, DFT, and/or molecular dynamics). Familiarity with software such as Material Studio
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MMGE - GENE TESTING LAB (IN-GTL-IUINA) One of the first human genetics departments in the country, the Department of Medical and Molecular Genetics at Indiana University (IU) School of Medicine has
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, molecular dynamics simulations using ab initio and machine-learning potentials, and the development or application of machine-learning tools for feature extraction, property prediction, and inverse molecular
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performance in organic electronic and electrochemical devices. Multiscale simulation and integration of machine learning: Use molecular dynamics, quantum mechanical and continuum models, in combination with
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MMGE - HEREDITARY GENOMICS DIV (IN-HGN-IUINA) One of the first human genetics departments in the country, the Department of Medical and Molecular Genetics at Indiana University (IU) School
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& design, catalyst design & modelling, and carbon capturing & conversion. Proficiency in fluidized reactor design & optimization, hydrodynamics & molecular dynamics modelling (openFOAM, Ansys Fluent, LAMMPS
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software development. Proficiency in English (written and spoken). (Preferred) Experience with any of the following: Electronic structure software (e.g., VASP, GPAW, FHI-aims). Molecular dynamics packages
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MMGE - HEREDITARY GENOMICS DIV (IN-HGN-IUINA) One of the first human genetics departments in the country, the Department of Medical and Molecular Genetics at IU School of Medicine has a rich history
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nanocrystals and carry out Brownian and molecular dynamics simulations of their self-assembly behavior in solution, on surfaces, or trapped at fluidfluid interfaces. 2) Carry out free energy calculations using