102 parallel-processing-bioinformatics Fellowship research jobs at Harvard University
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. Please direct questions regarding this application process to ethics_fellowships@fas.harvard.edu . Contact Information Yuuka McPherson 124 Mt. Auburn St. 520N Cambridge, MA 02138 Contact Email
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Engineering at Harvard University seeks outstanding postdoctoral fellow applicants to join a collaborative research team focused on developing an innovative RNA therapeutic platform with the potential to treat
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questions regarding this application process to ethics_fellowships@fas.harvard.edu . Contact Information Yuuka McPherson 124 Mt. Auburn St. 520N Cambridge, MA 02138 Contact Email ethics_fellowships
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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
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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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to reapply until the 2026-2027 Academic Year (i.e., Fall 2026 or Spring 2027 hiring rounds). Additional Qualifications: Applications are due on Wednesday, October 1, 2025 at 11:59 pm ET. Our selection process
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acid detection. Conduct reagent screening, selection, and validation processes to ensure compatibility with sensor surface chemistry as well as achieve high sensitivity and selectivity with real samples
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mathematical background and proven expertise to bear on our research, especially with regard to understanding the concept of “closure” in living systems. Closure occurs when the generative processes induced by
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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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-disciplinary team of researchers, including bioinformaticians, pathologists, oncologists, and computer scientists, and conduct original research on computational pathology. Digital pathology images contain rich