135 postdoc-computer-science-logic Postdoctoral positions at University of Washington
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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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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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(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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based on new discoveries from next generation sequencing. The successful candidate will participate and lead research projects using computational biology approaches to address questions that are both
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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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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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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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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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the Required Qualifications section. Skills: Collaboration, Computational Biology, Data Analysis, Data Interpretations, Experimentation, Laboratory Operations, Laboratory Techniques, Researching, Results
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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