130 postdoc-computer-science-logic Postdoctoral positions at University of Washington
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the Required Qualifications section. Work Experience: No additional work experience beyond what is stated in the Required Qualifications section. Skills: Collaboration, Computational Biology, Data Analysis, Data
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modeling team, the UW Salish Sea Modeling Center, NOAA Northwest Fisheries Science Center, PNNL, and CSIRO Australia. The postdoc will also interface with the Future Scenarios project at the Puget Sound
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-threatening infection of heart valves. The postdoc would lead an investigation of bacteria-blood cell interactions using flow cytometry, imaging flow cytometry and gene expression analysis with nanostring
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(including Crohn’s disease and ulcerative colitis) using molecular and cell biology, multi-omics technologies, murine models, and human tissues. We currently have three major focuses: 1) Innate lymphoid cells
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industrial engineering, systems engineering, computer science, electrical engineering, or a related field. · Strong background in machine learning or data analytics and hands-on experience handling big
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Lab is focused on understanding the homeostasis of lung vascular biology and pathogenesis of cardiopulmonary diseases with the goals of 1) understanding underlying mechanisms of pulmonary vascular
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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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research on helminth parasites, to assist in clinical trials for river blindness treatment, and to manage large data sets. The successful applicant will have experience in data science and in infectious
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research participants. With this research, we have a unique opportunity to address the large unmet need of treatment-resistant disorders of brain function. We have applied the technology to patients with
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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