59 parallel-processing-bioinformatics Fellowship research jobs at Harvard University in United States
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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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with bioinformatic pipelines and approaches for working with methylation data, or a willingness/ability to learn these methods. The appointment is for one year with possibility of renewal based
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· Strong skills in cell culture and/or C. elegans culture. · Proven success in publishing research papers. · Expertise in virology is a plus. · Expertise in bioinformatics is a plus. Special Instructions
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Supporting Dental, Oral, and Craniofacial Research Using Bioinformatic, Computational, and Data Science Approaches. See Notice NOT-DE-20-006 . April 1, 2020 - Notice of Special Interest: Developmentally
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, computational modeling, and data analysis for studying human motor learning is a plus. The review process is competitive, based on academic record, as well as professional and extra-curricular experience. Basic
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immunocytochemical analyses, circuit concepts, transcriptomic (and potentially proteomic) bioinformatics, small input RNA-seq, and high-level imaging, as well as research background in related studies. Junior
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before the fellowship start date. Applicants with external funding are welcome to apply but must undergo the same review process. Additional Qualifications Special Instructions APPLICATION DEADLINE IS
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given to recent graduates who have not previously held a postdoctoral position. Applicants with external funding are welcome to apply but must undergo the same review process. Please email the Director of
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at least two of the following: electrophysiology, rodent experimentation, programming of controllers, neuroprosthetics or neuromodulators, peripheral nerve surgery, neural interfacing models Track record
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Description Postdoctoral positions are available in Cengiz Pehlevan’s research group at Harvard University. Our group investigates how intelligence emerges from the collective dynamics of simple processing