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electrical engineering, biomedical engineering, computer science, medical physics, neuroscience, or a related field. While this is the preferred background, highly qualified candidates from other scientific
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, Physics, Engineering, or a related field, earned within the past six years Experience with AI and machine learning Excellent written and spoken communication skills Demonstrated ability to produce high
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Center. The broad areas of interest in Dr. Trinh's lab include: gene regulation by RNAs and proteins, modulation of gene-specific chromatin architecture, blood development, cancer and genetic diseases
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across physics, mechanical engineering, materials sciences, network science, and more. This multidisciplinary and highly collaborative environment provides an exceptional opportunity for candidates
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science, engineering, sociology, economics, management, or related fields). We seek applicants with strong computational and statistical skills, experience with managing large datasets, and fluency with
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/DNA transfections, lentiviral production and cell transduction, CRISPR engineering. In vivo : Subcutaneous/orthotopic tumor xenografts experiments, brain stereotactic injections, mouse handling
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science, engineering, bioinformatics, computational biology, or related fields. Preferred Qualifications: Multi-Omics and Genomics Expertise: Strong experience with large-scale datasets from public repositories, crucial
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Collaborate with leading researchers within and outside UVA Qualifications: U.S. citizenship required Ph.D. in Data Science, Statistics, Computer Science, Network Science, Physics, Engineering, Sociology
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. Minimum Qualifications: Education: Ph.D. or equivalent in engineering, physics, chemistry, or any biomedical science Preferred Experience: A strong background in the theoretical and experimental aspects