Sort by
Refine Your Search
-
program conference each spring, and an organized faculty mentorship component. Residency at the Warren Center for the term of the appointment is therefore required. The Ph.D. must be in hand before
-
degree in economics, computer science, or another quantitative discipline (such as, but not limited to, physics, engineering, or mathematics). A strong foundation in programming (especially Python, Matlab
-
groups. The research and training plan of each fellowship must address important scientific questions within the scope of BIO and the specific guidelines in this fellowship program solicitation. Because
-
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
-
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
-
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
-
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
-
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
-
/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
-
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