60 parallel-processing-bioinformatics Fellowship positions at Harvard University in United States
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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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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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Qualifications Applications are due on Wednesday, October 1, 2025 at 11:59 pm ET. Our selection process includes a coding exercise, a first-round interview, and a final round interview. We expect to share
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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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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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, 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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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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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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group investigates how intelligence emerges from the collective dynamics of simple processing units in neural networks, which drive both artificial and natural intelligence. Current projects span a wide