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computational biology. The successful candidate will have opportunities to interact with scientists across the Department of Entomology, the Fralin Life Sciences Institute, The Invasive Species Collaborative, and
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disorders. We will establish a program for deeply characterizing the biology and information processing changes of affected individuals and their response to different treatments. Research Techniques will
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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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· 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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• Experience in molecular biology techniques • Experience in computational data analysis and scientific programming (Python, R, MATLAB) • Experience in connectome analysis • Experience in molecular dynamics
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microenvironment to drive malignant progression. Our research lies at the intersection of glial biology and brain cancer, with a particular emphasis on malignant glioma, the most aggressive form of primary brain