109 assistant-professor-and-human-centric-computing Postdoctoral positions at University of Washington
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, tumor immunology organotypic in-vitro models, genetically engineered animal models and human tissues from clinical trials. All these approaches are brought to bear on impactful questions in tumor
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of scientific studies. Applicants with a strong background in computational biology are encouraged to apply. Job Description Primary Duties & Responsibilities: Information on being a postdoc at WashU in St. Louis
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technologies, 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
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work that span from molecular, cell- and organ-based studies in humans and animal models, research conducted in the Wang Lab focuses on understanding solute carrier (SLC) and ATP-binding cassette (ABC
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on exoplanets. The position will be supervised by Professors David Catling and Joshua Krissansen-Totton. This theory project is funded by the Alfred P. Sloan Foundation and does not depend on federal grants
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dedicated to understanding the molecular mechanisms of ATP-dependent AAA+ proteolytic machines in both bacterial systems and human mitochondria, exploring how these complexes form and achieve substrate
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the supervision of a faculty mentor including (but not limited to): Assists with grant preparation and reporting. Prepares and submits papers on research. Assists in the design of research experiments. Evaluates
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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
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Position Summary WashU Medicine, Department of Neurology, has an opening for a Postdoctoral Research Associate to join the NeuroGenomics and Informatics Center (NGI). The successful candidate will
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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