51 computational-cell-signaling-post-doc Postdoctoral positions at University of Washington
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Details Posted: Unknown Location: Salary: Summary: Summary here. Details Posted: 21-May-25 Location: Seattle, Washington Type: Full Time Categories: Academic/Faculty Internal Number: 161934 Position
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Details Posted: Unknown Location: Salary: Summary: Summary here. Details Posted: 16-May-25 Location: Seattle, Washington Type: Full Time Categories: Academic/Faculty Internal Number: 155931 Position
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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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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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protective equipment. Salary Range: Base pay is commensurate with experience. Applicant Special Instructions: Applicants should send a CV and contact information for three references to Zach Zheng at z.z
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Position Summary The Cooper lab at WashU is seeking a post-doctoral research fellow with a strong background in wet-lab immunology to work on projects related to understanding the molecular
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About This Job Required Qualifications: Per the NIH T32 program requirements, candidates must be a citizen or a noncitizen national of the United States or have been lawfully admitted for permanent
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the NeuroGenomics and Informatics Center at WashU. We are dedicated to generating and analyzing whole-genome sequencing data along with high-throughput, multi-dimensional 'omics' data to advance our understanding