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critical role in advancing computational materials science by developing and applying first-principles and machine learning methods, with a focus on interatomic potential development and large-scale
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, genomic datasets, machine learning, and experimental methods to investigate how the tumor microenvironment and gene regulatory factors control tumor metastasis cascade. By advancing our understanding
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, the postdoctoral associate will help to coordinate evidence-based learning networks of NPS units and other educational organizations to (1) direct data collection and conduct research on their programs and
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statistics, theoretical statistics; there is also opportunity to teach in VT’s computational modeling and data analytics program. Department management will make specific teaching assignments each semester
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and networking, with a particular focus on 5G and Beyond 5G technologies and applications of artificial intelligence and machine learning to wireless systems. The candidate will oversee the design and
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to identify FDA approved drugs that can be repurposed for viruses with pandemic potential. This includes working closely with computer scientists to utilize published “omics” datasets and machine learning
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the incumbent competitive for admission into top PhD programs in the behavioral and biomedical sciences and engineering. The 100% full time effort is expected to be allocated to responsibilities as follows: 75
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interest relate to Learning from Landscapes, a modeling framework that leverages interpretable machine learning to understand how landscape connectivity influences water quality. The selected candidate will
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(tensor/sparse grid based), reduced order modeling, digital twins and scientific machine learning. The application areas involve kinetic systems in plasma, quantum computing, wave equations and control, etc