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data analysis. Record of scholarly publications and scientific communication skills Proficiency in statistical and data analysis tools (e.g., MATLAB, Python, R). Preferred Qualifications: Experience with
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high throughput immune repertoire sequencing. Analyze and synthesize data gained from experiments into conclusions. Study the adaptive immune response to a variety of vaccine, infection-associated, and
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. The overall goal of the project is to design a novel high temperature heat pump. You will be conducting Computational Fluid Dynamic (CFD) simulations and cycle analysis, which will be instrumental
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synthesize data gained from experiments into conclusions. Study the adaptive immune response a variety of vaccine, infection-associated, and self antigens encountered by infants. Build on medical expertise in
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Postdoctoral Associate Required Qualifications: (as evidenced by an attached resume) Doctoral Degree (or foreign equivalent) in Computer Sciences, Engineering, Neuroscience, Psychology or a closely
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procedures, supervising experimental procedures, review of data for quality control, supervision of data entry/data analysis, analysis of research hypothesis using descriptive and multivariate statistics, and
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management ● Supervising and coordinating undergraduate research assistants ● Helping to mentor masters and doctoral students ● Designing experiments, collecting data, analyzing and writing papers
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Description The Center for Interdisciplinary Data Science and Artificial Intelligence (CIDSAI) at NYU Abu Dhabi seeks to recruit a highly motivated researcher to work on topics in the theoretical
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, immunofluorescence staining of proteins of interest, molecular biology, single-cell mRNA and open chromatin sequencing, analysis of brain connectomes and bioinformatics. In compliance with NYC’s Pay Transparency Act
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especially suitable for someone with strong formal reasoning and data analysis skills who is considering progression to a PhD or further postdoctoral research in AI ethics, social choice theory