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pseudostratified epithelial architecture, and its role in tissue behavior. It will also involve use of advanced live imaging, genetic manipulations, computational modeling, and mentoring junior team members. A
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of grades, please submit alternative documentation of your enrollment and progress in the degree program, as well as a written statement that you are unable to provide an official transcript of grades
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, writing, and fine-tuning code for structural model simulation, with a focus on computational performance. Most of the code will use the Julia programming language • Non-linear estimation and other
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especially encourage candidates with proven experience in applying computational and experimental methods to social scientific questions – including aptitude in working with large-scale datasets and text
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of our own evolutionary history, while domestication provides an additional window on brain-behavior evolution. The lab uses a variety of experimental and computational tools, such as structural and
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for the analysis of problems in these fields, including data analysis, geometric signal processing and computational science, along with a deep commitment to working with, and alongside, experimentalists is a must
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interpersonal and communication skills. While not a must, a strong background in computational methods and/or statistical methods is a plus. Special Instructions Applicants should submit a formal application and
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/scripting knowledge suitable for processing raw data for analysis (e.g., text manipulation); One or more computational environments for statistical analysis (e.g., MATLAB, Stata, R, or Python); Creating and
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Fellows: Rubin Lab The Rubin lab in Harvard’s Department of Stem Cell and Regenerative Biology has an exciting and broad multiomics program focused on brain aging. Approaches will include experimental and
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. Some areas of particular interest include: genetics, evolutionary biology, neurobiology, developmental biology, and stem cell biology. Our lab uses both experimental and computational approaches