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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 Organismic and Evolutionary Biology, which is a vibrant community of cross-disciplinary biological scientists at Harvard University. Basic Qualifications A Ph.D. degree in Bioinformatics, Computational Biology
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Bioinformatics, Computational Biology, or related areas; Hands-on experience with, or a strong interest in, bioinformatics programming, including Linux, scripting, and R; Expertise in data mining and cleaning
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analysis, organizational skills, and strong interpersonal and communication skills. While not a must, a strong background in computational methods and/or statistical methods is a plus. Special Instructions
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Questions Get answers to applicants’ frequently asked questions, from eligibility to the review process, categorized by each disease program. Read FAQs Guidelines From file type and size to formatting
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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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Fellowship program offers comprehensive research, training and professional development opportunities for scholars advancing their careers in history. Fellows pursue their research with support from
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Center Postdoctoral Fellowship program offers comprehensive research, training and professional development opportunities for scholars advancing their careers in the humanities. Fellows pursue
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. Applicants are required to submit: • CV • Cover letter (1-2 pages) that briefly states your interest in the program, your academic background, and a summary of your proposed research project • Research
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or more computational environments for statistical analysis (e.g., MATLAB, Stata, R, or Python); Creating and managing very large datasets; Machine learning skills; Writing papers for management and