20 parallel-computing-numerical-methods Postdoctoral positions at University of Colorado
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directions, particularly developing novel ML/AI methods and open-source software and data infrastructure · Design, implement, and evaluate computational methods and software for integrating and
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part of our research program outlined below. Our lab is in the Department of Biochemistry and Molecular Genetics and part of the RNA Bioscience Initiative at the University of Colorado School of Medicine
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. Postdocs will be expected to carry out computational research, develop novel AI and NLP methods, analyze data, and disseminate their findings, software, and data to the biomedical community. The postdoc will
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statistical and computational methods motivated by potential applications to observational studies. The work will involve both methodological research with biostatistics faculty and collaboration with clinical
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in pre-clinical modeling of disease and molecular neuroscience methods. Experience with neurophysiology and rodent behavior is preferred. This unique opportunity will provide substantial training in
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expected to develop and pursue an independent program of empirical research in bioethics. The CBH has a large network of productive inter-professional relationships in place with leading researchers in
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advanced NMR methods and develop cryo-EM expertise to study structure–dynamics–function relationships in these systems. Work Location: Onsite – this role is expected to work onsite and is located in Aurora
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statistical and computational methods motivated by potential applications to observational studies. The work will involve both methodological research with biostatistics faculty and collaboration with clinical
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training (e.g., NIH TIDIRH program, university training or certificate program) and a degree in a health science or related field. The incumbent may receive additional training through the CU Dissemination
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communication skills. Ability to work independently and as a team member within a research environment. Ability to work efficiently and effectively with computer software including Microsoft Office. Skilled with