30 computational-geometry Postdoctoral research jobs at University of Washington in United States
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repository and computer servers. Run existing PET/MR brain image processing pipelines on the computer servers, produce the results, and communicate with the group members. Write computer codes for the above
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Position Summary A postdoctoral position is open immediately in the laboratory of Dr. Li Ding at WashU School of Medicine in St. Louis, MO. We are looking for a highly motivated computational
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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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multidisciplinary research program examining the mechanisms of gene regulation. Postdoctoral appointee (‘postdoc’) is an individual holding a doctoral degree who is engaged in a term-limited work appointment of
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, computational genomics, functional assays, and integrated data analysis. We are seeking a highly motivated Postdoctoral Researcher who shares our passion for solving foundational problems in human genetics and
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is supporting responsible stewardship of Indigenous research data in libraries and repositories. The DSISS team of information science researchers, Indigenous scholars, and data repository
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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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, Bioinformatics, Molecular Biology, Developmental Biology, Computational Biology, etc.). Exceptional skills in molecular biology, genomics, human cell culture, and bioinformatics. Preferred Qualifications Education
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qualification in Genetics, Bioinformatics, Computer science, Data science, Statistical Genomics or a related discipline involving the interrogation of ‘omics’ datasets. Hands-on experience with large-scale human