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. • US Citizenship • Demonstrated expertise in CFD for Hypersonic flows • Deep knowledge of aerothermodynamics of hypersonic flows, compressible flows, and mechanics of turbulence • Proficiency in High
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to develop a knowledge-aware and event-centric framework for natural language understanding, in which event graphs are built as reading progresses; event representations are learned with the incorporation
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simulations. Knowledge of behavioral and analytic methods related to representational similarity, multidimensional scaling, reinforcement learning, and fear conditioning is a plus. Experience developing and
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Virginia Tech Dedicated to its motto, Ut Prosim (That I May Serve), Virginia Tech pushes the boundaries of knowledge by taking a hands-on, transdisciplinary approach to preparing scholars to be leaders and
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and Signal Transduction led by Prof. Matthias Mann, you will work in one of the leading proteomics environments worldwide with state-of-the-art mass spectrometry infrastructure, gaining knowledge across
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proposals for ongoing research program Required Knowledge, Skills, and Abilities: Ph.D. in physics or related discipline within the last 5 years Strong background in condensed matter physics Data analysis
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candidate will be required to have a criminal conviction check. About Virginia Tech Dedicated to its motto, Ut Prosim (That I May Serve), Virginia Tech pushes the boundaries of knowledge by taking a hands-on
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advanced AI/ML methods for robust analysis and integration. Data sparsity, batch effects, and missing values across different omics layers and platforms. Cross-omics data fusion and representation learning
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variability and the predictability of mechanistic CH4 models. We aim to fill the knowledge gap in the project “A holistic view of Methane turnover in northern Wetlands by Novel isotopic approach (MeWeN
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models; 2. Statistical methods, analysis, and inference for large-scale computational simulator applications; 3. Uncertainty representation, quantification and propagation; and 4. Scalable data science