34 parallel-computing-numerical-methods Fellowship research jobs at Nature Careers in United States
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, histology, immunohistochemistry, and cell sorting. · Experience with cell culture, immunofluorescence, and flow cytometry. · Experience with epigenetic and single cell methods preferred.
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protein biochemistry with technical expertise in protein expression and purification using mammalian or insect cell systems as well as basic molecular biology techniques. Experience in structural methods (X
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the broader scientific community through writing papers, presenting at conferences, and writing grants. Employ computational approaches to analyze complex data sets, including next generation sequencing data
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methods with state-of-the-art technologies such as comprehensive mouse phenotyping, 3D tissue clearing & imaging, in vivo transplantation and 3D imaging of transplants, and single-cell and spatial multi
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editing with CRISPR/Cas9 systems. Strong background in cancer research with a proven track record of publications. Proficient in molecular and cellular biology methods (e.g., cell culture, PCR, Western
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Scientist or Research Associate) will have great opportunities to collaborate with diverse groups of physicians, geneticists, and computational/experimental biologists, and get access the large-scale patient
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) or/and computational analysis of large data sets are preferred. Please send your CV and the names of three references to Dr. Tingting Jiang (tingting.jiang@mssm.edu)
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interface of developmental/stem cell biology, immunology, and computational systems analysis in a highly collaborative and multidisciplinary environment. Qualifications Required: PhD (or nearing completion
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computational biology and immunology are also welcome. Our laboratory focus ranges from the study of basic biological processes to very translational bench-to-clinical research with implementation of laboratory
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, teaching and program development that will improve the health of women. Each fellow completes an individualized career development plan (ICDP) around 4 core areas essential to a successful research-based