29 parallel-computing-numerical-methods Postdoctoral positions at University of Washington
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encouraged to apply: Biologists with mathematical, computational, or programming experience. Prior experience with mouse models, motivated to learn new techniques including advanced optical imaging
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Position Summary The Marti Lab builds next-generation imaging tools and AI methods to track how health, aging, and disease unfold deep inside living organisms, over weeks to lifetimes. Job
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learn advanced instrumentation, 3D data analysis, and AI methods in close collaboration with engineers and physicists. We work closely with lab members to develop the skills, confidence, and creativity
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or interests in programming languages such as R or Python. Independence to lead a project as well as willingness to work in a team. An open mind to learn new methods from other researchers and collaborators
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understanding of epigenetic and transcriptional regulation of gut epithelial cell differentiation. This postdoctoral researcher will combine wet-lab molecular biology methods, dry-lab bioinformatic analysis, and
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regulatory control of numerous virulence factors in different host niches. We are seeking an energetic, highly-motivated postdoctoral research associate to carry out in vitro and in vivo experiments
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in a team. An open mind to learn new methods from other researchers and collaborators. Good scientific presentation and writing skills. Preferred Qualifications Education: No additional education
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Position Summary The Cruchaga Lab at WashU Medicine is recruiting multiple Postdoctoral Research Associates. The NeuroGenomics and Informatics Center generates and analyzes Whole-Genome Sequencing
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of GI diseases to continue our work in functionally characterizing the impact of immune cells including ILCs in IBD. Our research program provides a highly collaborative and supportive training
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for tissue preparation and multiplexed imaging workflows. Assist in developing novel analytical pipelines or work with computational scientists to interpret complex spatial and single-cell datasets