132 coding-"https:" "https:" "https:" "Stanford University" research jobs at Harvard University
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outstanding opportunities for continued scientific development and for contributing to pioneering research. Specifically, the fellow will apply as well as develop code to process and analyze mycobacterial
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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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the responsible conduct of research; Responsible Conduct of Research. Engages in best practices for data management and reproducible research including use of commented code and R Markdown. Project Support (30
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scalable bioinformatics pipelines on cloud-based infrastructure. The Research Fellow will be responsible for the code base supporting the large-scale genomic processing and analysis pipelines at the SMaHT
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coding abilities, including skills in statistical analysis (e.g., R), computational methods (e.g., NLP methods), programming (e.g., Python), online research tools (e.g., Qualtrics) Strong interpersonal
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on performance. Please take a look at the type of work Prof. Stantcheva does on her website: https://www.stefanie-stantcheva.com/ as well as on her Social Economics Lab website http://socialeconomicslab.org
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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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Number: 15994 School: Harvard John A. Paulson School of Engineering and Applied Sciences Position Description: The Teamcore Group (https://teamcore.seas.harvard.edu) at the John A. Paulson School of
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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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at https://academicpositions.harvard.edu/postings/15947 . Contact: Pragya Sur Email: Postal Mail: 33 Oxford St. Suite 113 Cambridge, MA 02138 Web Page: https://statistics.fas.harvard.edu/