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that can be repurposed for viruses with pandemic potential. This includes working closely with computer scientists to utilize published “omics” datasets and machine learning approaches to identify FDA
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cardiovascular physiology and cardiac disease modeling, including small-animal cardiac surgery models such as transverse aortic constriction (TAC), myocardial infarction (MI), and related models of cardiac stress
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://news.vt.edu/articles/2023/10/eng-futuregaward.html Required Qualifications ● Ph.D. in Electrical Engineering, Computer Engineering, Computer Science, or a closely related field. ● PhD must be awarded
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Sciences, Geodesy, Physics, Mathematics, Computer Sciences, Civil & Environmental Engineering, or a related field. PhD awarded no more than four years prior to the effective date of appointment with a
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· Ph.D. degree in Computer Science, Electrical and Computer Engineering, Computational Biology, Bioinformatics, Statistics, Mathematics, Biophysics, Physics, Chemistry, Biology or related fields. · PhD
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community engagement, with a strong focus on responsible, equitable, and real-world applications of emerging technologies. The project is led by Junghwan Kim, PhD, MUP, Assistant Professor in the Department
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and distribution systems, including unit load design and supply chain efficiency. • Collect, process, and analyze experimental data from mechanical testing equipment; prepare technical reports and
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microenvironment. The project will employ genetically engineered mouse and human glioma models, along with advanced imaging techniques, single-cell and spatial transcriptomics, and molecular biology approaches
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collaborators. Required Qualifications • PhD in neuroscience, physics, computer science, applied mathematics, biomedical engineering, or a related quantitative field. PhD awarded no more than four years prior
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vivo animal procedures. Responsibilities also include data analysis, report and manuscript preparation. Required Qualifications • PhD in Virology, Viral Immunology, Microbiology or a closely related