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pathogens of importance to the Department of Defense (DoD). The experience is designed to provide you exposure to cutting-edge methods in viral evolution, high-throughput sequencing, and computational
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the appointment start date. Preferred skills: Knowledge and experience in multiple programming languages and platforms (eg Python, perl, C/C++, R, and SAS). Familiarity with NGS based sequence analysis including
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Professor Arbel’s lab in the context of a grant focused on developing multi-modal causal deep learning models to predict future disability progression and treatment response in Multiple Sclerosis
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University Hospital, Duke Regional Hospital, Duke Raleigh Hospital, Duke Health Integrated Practice, Duke Primary Care, Duke Home Care and Hospice, Duke Health and Wellness, and multiple affiliations
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DNA nanoparticles for biomedical imaging and therapeutic delivery. The research assistant will lead multiple funded projects focused on nanoparticle sequence design, structural optimization, and
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grant applications. Collaborate with computational and wet lab teams across multiple institutions. Data Management & Infrastructure Organize and back up sequencing data and analysis results using lab
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the goal of improving human health. Aligned with Rutgers University–New Brunswick and collaborating university wide, RBHS includes eight schools, a behavioral health network, and five centers and institutes
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understanding of the mechanisms of initiation, progression, and therapeutic resistance in lung cancer. The lab has established the use of multiple high-throughput screening technologies, genomics, proteomics
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malignancies with a primary focus on lung cancer. The lab has established the use of multiple high-throughput screening technologies, genomics, proteomics, epigenetics, clinical samples, and animal models
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of Genetics, Biology, and Chemistry, Stanford University The Babu Group uses data-driven approaches to understand sequence-function relationships in intrinsically disordered proteins and structure-function