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Field
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Postdoctoral position: Developing a human lymphoid organ-on-chip to evaluate candidate mRNA vaccines
mimicked a vaccine boost, by inducing a massive amplification of memory B cells and Spike-specific antibody secretion. (R. Jeger-Madiot et al., J Exp Med 2024). Features of lymphoid tissue, including
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of University Professor Sarah R Davies, which focuses on Technosciences, Materiality, and Digital Cultures and which studies the digital as material practice in contexts in which technoscience is created
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cell RNA-seq, ATAC-seq Experience with python and/or R programming languages, including single cell package ecosystems (scanpy and/or Seurat) Experience working within HPC environments Experience working
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(e.g. ADOS-2, ADI-R), is strongly preferred. Knowledge, Skills and Abilities: Knowledge of Microsoft Office suite. Familiarity with statistical packages (e.g., SPSS, R) Ability to work as a member of a
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R. Brown School of Engineering and Computing: The George R. Brown School of Engineering ranks among the top 20 undergraduate engineering programs (US News & World Report) and is strongly committed
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, computer science, statistics, or a related field together with strong programming skills in Python, R, or similar languages, and proficiency in high-performance computing. You will have experience in large-scale
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Excellent communication and writing skills Certifications/Licenses Required Knowledge, Skills, and Abilities Preferred Qualifications Experience handling very large datasets Knowledge of R and Python, and
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quantitative skills Proficiency with statistics and data analysis Familiarity with a programming language such as R Willingness to collaborate with other postdoctoral researchers, students, agency and university
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engineering. · Proficient in programming languages, including Python, R, Julia, etc. · Proficient in database management systems, i.e., MySQL or Microsoft SQL Server. · Proficient in traffic
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applicants will have:*Expertise conducting spatial and statistical analyses*Experience with scientific computer programming in R and Python*Formal training or experience applying quantitative and spatial