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will develop novel machine learning and artificial intelligence (ML/AI) methods for genomics data, especially: large-scale single-cell genomics data, high-definition spatial genomics, digital pathology
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to early phase clinical trials. We collaborate with investigators intramurally (Duke Pharmacology & Cancer Biology, Cell Biology, Biomedical Engineering), and extramurally nationally and internationally
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activity in a broad array of applied therapeutics. Job Responsibilities: The Center for Applied Therapeutics develops dendritic cell and T-cell-based therapies for various cancers. We collaborate across
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of SOPs and process documentation. Coordinate efforts with Duke’s GMP Cell therapy Facility. Contribute to preclinical IND-enabling studies. Manuscript preparation. Data analysis Maintain accurate
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of Michigan) Job Duties Develop multiscale ABMs of multi-cellular immune cell populations and virus interactions. Build organism-scale ODE/PDE/stochastic models based on ABM outputs and experimental data
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and single cell sequencing, proteomic approaches, and cardiopulmonary physiological readouts. Extensive training in the above techniques will be provided. The work may require occasional late-evening
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. The successful candidate will have a Ph.D. degree, with a strong background in biochemistry and structural biology. Experience with expression and purification of proteins from mammalian cells, measurement
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inflammatory diseases including diabetes, cardiovascular, and Alzheimer’s disease. Successful candidates will lead projects using multi-omics datasets from large sample sizes of disease relevant tissues/cells
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, and a wide array of family-friendly and cultural programs to eligible team members. Learn more at https://hr.duke.edu/benefits/ Minimum Qualifications Duke is an Equal Opportunity Employer committed