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policy and health system leaders. To this end, HQO faculty are enthusiastic about providing opportunities for mentorship and professional growth that align with the successful candidate's long-term goals
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supervision of Prof. Flavio Calmon at Harvard SEAS. The postdoctoral researcher will develop information-theoretic methods for alignment, privacy, and reliability in modern AI systems. Basic Qualifications
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to optimize cellular performance. The Fellow will develop an independent research project aligned with the broader goals of the collaboration and will have opportunities to lead publications, make scientific
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participate in a spectrum of cutting-edge research across multiple departments. The Operator will participate in the operation, maintenance and quality control of top-flight flow cytometers and cell sorters
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. Experience with molecular biology techniques such as PCR, DNA cloning, and routine laboratory pipetting. Mammalian cell culture experience. Strong organizational skills and the ability to manage multiple
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availability of funding. Extensions are common and expected for postdocs who are performing well and whose research contributions align with ongoing lab goals. Contact Information SB Hiring Team 200 Longwood
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. Ideal candidates will have demonstrably strong research skills, evidenced by multiple publications in top-tier machine learning or artificial intelligence conferences and/or leading scientific journals
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with BIG DATA (eg. NGS data in multi-TB scale). Experience using genome alignment software (bowtie2, bwa, tophat, etc.) is desired. Fluent in one programming language (Python, C, C++ or Java) and
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applications for multiple Postdoctoral Fellow positions working with Dr. Yi-Qiao Song, Prof. David Weitz, and Prof Donhee Ham on NMR/NQR/ESR technology development and applications in subsurface exploration and
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. Ideal candidates will have demonstrably strong research skills, evidenced by multiple publications in top-tier machine learning or artificial intelligence conferences and/or leading scientific journals