110 coding-"https:"-"FEMTO-ST"-"CSIC" "https:" "https:" "https:" "https:" "https:" "https:" "Dr" "P" Fellowship positions at Harvard University in United States
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scientific development and for contributing to pioneering research. Specifically, the fellow will apply as well as develop code to process and analyze mycobacterial molecular and phenotype data. Including code
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membranes. Please see https://blacklow.hms.harvard.edu/ for additional information on areas of research. We welcome applications from recent PhD graduates who are interested in these or related fields
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candidate will work with Dr. Regehr to develop a mentored research project within the scope of the lab’s research focus. In addition to carrying out bench research, the successful candidate will be expected
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protein coding genetic association data with functional and machine learning-derived features 4. Developing methods to characterize the genetic architecture of autism Salary and Benefits This position is
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eligible. Information regarding postdoctoral fellow salary, which is determined by the number of years post PhD, and benefits can be found at https://postdoc.hms.harvard.edu/guidelines . Minimum Number
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Details Title HMS - Postdoctoral Fellow in Genetics School Harvard Medical School Department/Area HMS Genetics Position Description The laboratory of Dr. Yankner at Harvard Medical School is seeking
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will be given the added opportunity (funded and encouraged) to collaborate with and visit groups in sister institutions (https://www.origins-federation.com/). Applications consisting of a CV and a 4-page
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contribute to overall lab operations. The applicant will be a collaborative, impact-focused problem solver who wants to be part of a dynamic team. Learn more about the innovative work led by Dr. Don Ingber
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Number: 15451 School: Harvard Medical School Department/Area: HMS Genetics Position Description: The laboratory of Dr. Yankner at Harvard Medical School is seeking a highly motivated Postdoctoral Fellow to
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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