190 computer-programmer-"https:"-"IDAEA-CSIC" "https:" "https:" "https:" "https:" "https:" "Dr" "P" Fellowship positions at Harvard University in United States
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settings in the United States. The successful candidates will work with Dr. John Naslund to develop an independent research project within the scope of the lab's research focus on implementation science and
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DNA elements and transcriptional and chromatin remodeling machinery in gene regulation. More information about the lab and specific research areas can be found at https://adelman.hms.harvard.edu
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of cilia. More information about the lab and specific project areas can be found at https://brown.hms.harvard.edu/research. We welcome applications from recent PhD graduates, particularly those who may
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work with Dr. Gygi to develop an independent research project within the scope of the lab’s research focus. In addition to carrying out bench research, the successful candidate will be expected to apply
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, Mathematics, Computer Science or a directly related field Additional Qualifications: The successful applicant will be expected to have a solid technical background, research experiences showing independence and
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about the Shih Lab: Learn more about the innovative work led by Dr. William Shih here: https://www.shih.hms.harvard.edu/ . What you’ll do: Develop DNA-based sensors that seed crisscross assembly of single
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the development, evaluation, and implementation of task-shared mental health services in primary care settings and other community settings in the United States. The successful candidates will work with Dr. John
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these or related fields, particularly those who may bring a new technology or perspective to bear on the work in the lab. The successful candidate will work with Dr. Kruse to develop an independent research project
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bring a new technology or perspective to bear on the work in the lab. The successful candidate will work with Dr. Buratowski to develop an independent research project within the scope of the lab’s
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the possibility of extension. For more details on our research and recent publications, see the Geometric Machine Learning Group’s website: https://weber.seas.harvard.edu For questions, please email mweber