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Job Description Position Summary We are seeking outstanding candidates for a new postdoctoral research fellowship position in global health and dissemination science. This is a full-time position
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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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, biochemistry and molecular virology. Representative publications and more information about our lab can be found at: https://kutluaylab.wustl.edu/ . The Kutluay lab and Washington University provides
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interpersonal communication skills. Demonstrated Microsoft office suite abilities. Detail oriented. Required Qualifications Must have a Bachelor’s in Social/Life Sciences or education preferred, or equivalent
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-time Postdoctoral fellow(s) in Translational Medicine. The group seeks a highly motivated and independent Postdoctoral Fellow candidate(s) with a strong background in multi-omics molecular biology, and
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, intellectual excitement, artistic pursuits and natural beauty. The Department of Psychiatry and Behavioral Sciences within the UW School of Medicine is the third largest clinical department within the School
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, but other viruses that alter immune regulation are also studied. Techniques in the lab include molecular biology, biochemistry, microscopy, viral genetics, flow cytometry, analysis of large data sets
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medical physics, physics, engineering, computer science or a related field. Strong background in image analysis, image registration and/or image segmentation. Strong background in machine learning
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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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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