25 parallel-computing-numerical-methods-"Multiple" Fellowship positions at Indiana University
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quantum many-body theory with a focus on quantum impurity models (particularly Kondo model). Strong computational skills (with Python or Julia or C++ or Matlab or equivalent) and using numerical techniques
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Specialist for a National Institutes of Health (NIH) funded fellowship in public and population health informatics. This unique post-doctoral program is located on Indiana University’s Indianapolis campus
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Biomedical Engineering & Informatics, and Associate Director for AI Research at the Center for Computational Biology and Bioinformatics. Dr. Duren’s research focuses on development of computational methods and
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chemistry, physical chemistry, analytical chemistry, organic chemistry, and biochemistry. The department has remarkable characterization facilities including multiple transmission electron microscopes
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methods and transmission electron microscopy will take place in parallel with neuropathological and structural studies. The Dementia Laboratory has active collaborations with national and international
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, statistical genetics, bioinformatics or computational biology. We are particularly keen to attract a candidates who already have experience and/or training in the statistical methods used in genetic and
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pathophysiology of the inner ear using multiple genetic mouse models and a novel human stem cell-derived 3D inner ear organoid model. We study genetically-mediated hair cell and neuronal degeneration in these model
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organic methods for functional small molecules and polymers. The goal of projects in the Huang lab is to tackle critical societal challenges through precise structural control, efficient manufacturing, and
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Position Summary Dr. Matthew Aalsma, Vice Chair of Health Services Research and Director of the Adolescent Behavioral Health Research Program in the Department of Pediatrics at Indiana University School
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bioinformatics and biomarker research. This position focuses on the integration and analysis of complex biological data to identify and validate kidney disease biomarkers. Research Focus Our program leverages