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, deep molecular characterization of human tissue, experimental models, and cutting-edge bioinformatics and machine learning approaches. We embrace a multipronged strategy to expedite the discovery
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of infection. Applicants must have expertise and proven skills in molecular microbiology, genomics, cell biology, immunology, Omics, and bioinformatics. Applicants must have experience in BSL-3 work and be able
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science, bioinformatics, and biostatistics. They have a strong diversity, equity, inclusive culture for faculty who develop careers in both innovative research and collaborative research. Faculty in
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manuscripts, and present research results at international conferences Ph.D. degree in genetic epidemiology, statistical genetics, bioinformatics, biostatistics, or a closely related quantitative field
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and/or in vivo models of infection. Applicants must have expertise and proven skills in molecular microbiology, genomics, cell biology, immunology, Omics, and bioinformatics. Applicants must have
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, Medical Physics, Electrical and Computer Engineering, Computer Science, Bioinformatics, or a related discipline, with scientific collaboration and research interests in the following areas: · Translational
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, and cell-free DNA (cfDNA). The successful candidate will leverage expertise in computational biology, epigenetics, and bioinformatics to develop innovative biomarkers for cancer detection, disease
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. Expertise in oncogenesis, treatment resistance, microbial interactions, bioinformatics, drug discovery, or immunotherapy is a plus. Candidates are expected to have an established research program with a