134 postdoc-computer-science-logic Postdoctoral positions at University of Washington in United States
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& Responsibilities: Information on being a postdoc at WashU in St. Louis can be found at https://postdoc.wustl.edu/prospective-postdocs-2/ . Trains under the supervision of a faculty mentor including (but not limited
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. Computational and bioinformatic skills. Experience in microscopy. Generation and analysis of mouse models. Handling of human samples. Molecular biology skills including CRISPR, cloning and qPCR. In vitro cell
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& Responsibilities: Information on being a postdoc at WashU in St. Louis can be found at https://postdoc.wustl.edu/prospective-postdocs-2/ . Trains under the supervision of a faculty mentor including (but not limited
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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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variants in inborn errors of immunity. Job Description Primary Duties & Responsibilities: Information on being a postdoc at WashU in St. Louis can be found at https://postdoc.wustl.edu/prospective-postdocs-2
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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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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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top-tier journals, support for fellowship applications, and funding to attend national conferences. Job Description Primary Duties & Responsibilities: Information on being a postdoc at WashU in St
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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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-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