34 parallel-computing-numerical-methods Fellowship positions 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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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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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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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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, 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
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Postdoctoral Fellowship in AI and Large Language Models for Transforming Pediatric Healthcare The Computational Health Informatics Program (CHIP) at Boston Children's Hospital, affiliated with
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Postdoctoral Affairs, which provides a comprehensive professional development program . The Institute is located in fun, affordable and family-friendly Grand Rapids, MI. Located on the banks of the Grand River
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of the City of Hope Comprehensive Cancer. The Perry laboratory uses structural biology approaches, together with small molecule and fragment-based drug discovery, computer-aided drug discovery