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blood samples to advance patient care. This role will involve developing computational models (statistical, machine learning, etc.), and using them to perform high throughput analysis of clinical data
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to contribute to one or more projects, learning advanced cellular and molecular biology and anaerobic microbiology techniques. The candidate’s day will be split between benchwork to generate data, and computer
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assays, flow cytometry, high dimensional data acquisition and analysis and confocal and/or in vivo microscopy. Job Description Primary Duties & Responsibilities: Information on being a postdoc at WashU in
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-postdocs-2/ . Trains under the supervision of a faculty mentor including (but not limited to): Manages core projects, including sample preparation, execution, and data analysis. Designs research experiments
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chain monitoring and anomaly detection Supply chain optimization and resilience analysis Integrate experimental data with physics-based and data-driven models Conduct laboratory, pilot-scale, and/or
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additional work experience unless stated elsewhere in the job posting. Skills: Collaboration, Data Analysis, Data Interpretations, Experimentation, Laboratory Operations, Laboratory Techniques, Researching
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unless stated elsewhere in the job posting. Work Experience: No additional work experience unless stated elsewhere in the job posting. Skills: Collaboration, Data Analysis, Data Interpretations
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, Collaboration, Data Analysis, Data Interpretations, Experimentation, Flow Cytometry, Genotyping, Laboratory Operations, Laboratory Techniques, Macrophages, Microbiota, Mouse Breeding, Mouse Models, Researching
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the job posting. Work Experience: No additional work experience unless stated elsewhere in the job posting. Skills: Collaboration, Data Analysis, Data Interpretations, Experimentation, Laboratory Operations
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advanced spatial biology techniques, such as spatial transcriptomics, proteomics, and multiplexed imaging, to analyze brain tissue. Lead data analysis and interpretation, integrating multi-omic and imaging