32 machine-learning-and-computational-biology-research-group Postdoctoral positions at Virginia Tech
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Alexandria, Virginia. The focus of these positions will be on quantum computing, quantum algorithms, quantum learning, quantum error correction, and quantum fault-tolerance. The successful candidate will join
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between the Senger and Wright research groups as a Postdoctoral Research Associate. The successful candidate will play a central role in a multidisciplinary project aimed at engineering programmable
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primary research manuscript in a peer-review journal and submitted one post-doctoral fellowship application. The environment of the Poelzing group is highly interdisciplinary and provides ample
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jurisdictions utilizing land use-value assessment estimates. Duties include, but are not limited to: development of computational methods, maintenance of current models and data sets, identifying and testing
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repertoires of different viral groups groups, and the development of bioinformatic methods for genomic and evolutionary analyses. The research will address critical questions regarding the evolution and
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candidate will join Dr. Siddharth Saksena’s research group, which focuses on advancing hydrologic modeling, flood forecasting, and hydroinformatics through the integration of artificial intelligence, physics
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of Engineering as well as the new Virginia Tech Institute for Advanced Computing (IAC) located in the Greater Washington, D.C. area. The position involves conducting research in signal processing, machine learning
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, materials, virology, computational biology, science communication, community engagement, and ethics. Candidates should demonstrate all relevant qualifications (see required and preferred qualifications below
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supervision of Prof. Yingda Cheng on computational methods and modeling for kinetic equations. The research conducted will involve development of numerical methods, development and analysis of reduced order
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comfortable with interactions with mice to maintain a successful operation of the research activities. Fundamental knowledge and an interest in molecular and cell biology is a necessity. Techniques we use