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Field
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analyzing data from genomic experiments such as RNA-seq, ChIP-seq, CUT&RUN is required. Candidates should have a PhD (or equivalent) degree and must have at least one first-author peer-reviewed publication
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projects ranging from score-based generative models, energy-based models, Bayesian analysis of graph and network structured data, highly multivariate stochastic processes; with data applications ranging from
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xenografts. Required Qualifications A postdoc applicant should have a PhD and prior experience in lung cancer and metastatic models and techniques, such as molecular biology, cell culture, biomarker analysis
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in vitro models along with advanced 3D and 4D imaging technologies, we aim to illuminate key molecular and cellular mechanisms underlying human neural development and the pathogenesis of neurological
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to the position. Organization and analysis of data and findings. Prepare scientific reports, outcome findings and scientific manuscripts. Participate in meetings with principal investigator and research staff in
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-preserving and data-driven reduced order modeling scientific machine learning In addition to research, the postdoctoral researcher will engage in mentoring and outreach activities and will be expected to teach
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., epidemiology, applied mathematics, statistics, or network science) by the start of the appointment, Experience developing complex models for real world data, with strong programming skills (R, Python, and/or
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University of North Carolina at Charlotte | Charlotte, North Carolina | United States | about 5 hours ago
Position Information General Information Position Number POST40 Working Title Post-Doctoral Fellow Division Academic Affairs Department College of Engineering (Col) Work Unit Mechanical Engineering
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Immunology, Data Science and/or related fields. MD/PhD with molecular biology research experience. Must have experience with analyzing omics data. Familiarity or direct experience with analysis of 10x Genomics
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disease with a focus on Alzheimer’s Disease. Computational models will be developed that utilize data obtained from a wide range of experiments, from basic biochemical methods to advanced imaging techniques