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experimental methods to social scientific questions – including aptitude in working with large-scale datasets and/or text-analysis methods. Most of all, we value curiosity and passion about topics studied in
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appointment). Strong background in statistical or machine learning methodology, optimization, or high-dimensional data analysis. Proficiency in R or Python; experience with deep learning, causal inference
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Biology, Evolutionary Biology, Microbiology, Epidemiology, Biostatistics, Applied Math, or related field. Strong coding/computing skills. Familiarity or strong interest in the analysis of pathogen genomic
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, math, statistics, and/or computer science Experience with programming, data science, and geospatial analysis (especially R, Stata, Julia, MATLAB, or Python) An enthusiasm for empirical research and an
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, microbiological, or molecular ’omics preferred. Familiarity with methods for high-throughput sequence analysis, ideally microbial community metagenomics and/or microbial genetics. Excellent record of scientific
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such as Data Science, Statistics, Computer Science, Epidemiology, Environmental Health, or a related field. Demonstrated expertise in large scale analysis and familiarity with health-related datasets
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surrounding building such an experimental toolkit; from the ultrafast optics to the spatial resolution and statistical data analysis. Basic Qualifications PhD in Physics, Chemistry, Biology, Mathematics and
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development, genetics, cell polarity, tissue mechanics and multidimensional image analysis are encourage to apply. Our group investigates cell behaviors in live embryos to address fundamental questions about
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. Mentor junior researchers and assist in training lab members in experimental techniques and data analysis. Basic Qualifications Ph.D. or M.D./Ph.D. in areas such as neuroscience, molecular biology
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in Organic Chemistry, Materials Chemistry, or a closely related field with strong focus on synthetic chemistry. Experience with retrosynthetic analysis, multistep organic synthesis, air- and moisture