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experiments while also taking an active role overall Program strategy and alignment with the sponsor’s contractual requirements. Work closely with a collaborative multi-disciplinary team of scientists
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complex behaviors in rats using techniques drawn from circuit-driven neuroscience, and computational ethology. The opening is for a postdoctoral fellow with expertise in systems neuroscience, including some
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are invited to participate in broader activities at Harvard and Brown, including seminars and courses. The program serves as an ideal bridge between college and graduate school for students interested in
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or computational research, the successful candidate will be expected to apply for fellowship funding, contribute to the writing of grants and manuscripts, participate in teaching and mentoring of lab members as
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for analysis (e.g., text manipulation); · One or more computational environments for statistical analysis (e.g., MATLAB, R, or Stata); · Creating and managing very large datasets; · Machine
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lab experiments, field experiments, and/or surveys; · Programming/scripting knowledge suitable for processing raw data for analysis (e.g., text manipulation); · One or more computational
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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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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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will involve investigating the physiological and functional variation of plants using spectroscopy and will include greenhouse work, field work, plant phenotyping, computational analyses of hyperspectral
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circuit-driven neuroscience, and computational ethology. The opening is for a postdoctoral fellow with expertise in systems neuroscience, including some of the following: chronic neural recordings in freely