298 computer-programmer-"https:" "https:" "https:" "https:" "https:" "Data driven Materials Modeling" research jobs at Harvard University
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. We value an inclusive and diverse workforce, and believe that our differences enrich the work environment for all. Not ready to apply? Join our talent community via this link here: https://us.smrtr.io
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benefits 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 . With
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references’ names and contact information. Applications will be reviewed on a rolling basis until the position is filled For more information, please visit our website – https
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at https://postdoc.hms.harvard.edu/guidelines . With this appointment, you are represented by the Harvard Academic Workers (HAW) – UAW for purposes of collective bargaining and matters affecting your
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development. More information about the lab and specific research areas can be found at https://sites.harvard.edu/zheng/. We welcome applications from recent chemistry or chemical biology PhD graduates with
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common CNAs found in breast cancer (https://pubmed.ncbi.nlm.nih.gov/39567747/). Several lines of evidence suggest that these CNAs increase cell fitness and that cells carrying these CNAs represent
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Additional Qualifications Prior experience working with animals, high resolution imaging, or computational biology are considered a plus Special Instructions *Once your application is complete, please email
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our website – https://www.mason.chemistry.harvard.edu/ – or contact the department directly. Please note: This position is contingent upon funding and satisfactory performance. Contact Information
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identified populations of breast epithelial cells that carry chromosome copy number alterations (CNAs) that are among the most common CNAs found in breast cancer (https://pubmed.ncbi.nlm.nih.gov/39567747
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Description The Onnela Lab in the Department of Biostatistics at the Harvard T.H. Chan School of Public Health is seeking candidates with a Ph.D. in biostatistics, applied mathematics, computer science, or a