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publishing data in research journals. Provide supervision and guidance to laboratory staff and trainees. Required Qualifications Ph.D. in Cancer Biology or related field. Preferred Qualifications Research
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Postdoctoral Research Associate (Genomics, Data Integration, Deep Learning, AI) - Radiation Oncology
an ambitious interest in developing tools and applying cutting-edge bioinformatic and deep learning/AI techniques to advance our understanding of cancer biology and treatment. Our agile, growing
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discovery of Orsay virus, the first and to date only virus that naturally infects C. elegans (Felix et al, PLoS Biology 2011). By forward and reverse genetic screening, we have identified multiple genes
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expected to work on mouse models with a group of highly motivated young scientists to employ interdisciplinary approaches, such as retinal cell biology, functional genomics, imaging, and biochemistry
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to target human cancers. Research background and experience in molecular biology, biochemistry, genetics, cell biology or a related research field is preferred. We offer an inspiring, intellectual
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injury models, and molecular biology techniques using proximal tubule cells in vitro to investigate tubular responses to injury. Experience with these techniques is not required, but highly motivated
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Scholar that will be enthusiastic about collaborative, cooperative, and interdisciplinary research. Research experience in experimental mouse models, immunology, flow cytometry, cell biology, molecular
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) and/or cell biology, molecular biology. Previous experience with analysis of immune cells, use of pre-clinical GVHD models, and/or lentiviral transduction/CRISPR will be considered an advantage. Working
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turn may be targeted therapeutically for IPF. Experimental approaches employed in our lab involve cell signaling and metabolism, metabolomics, mitochondrial biology, molecular/cellular biology
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defined mission that accommodates diverse faculty interests and expertise. At present, OHS enjoys faculty expertise in areas including anatomy, biochemistry, molecular biology, microbiology, biostatistics