163 parallel-processing-bioinformatics-"https:" Fellowship positions at Harvard University
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) of focused, independent research. Fellows enjoy access to Harvard’s vast research resources and vibrant intellectual environment. Basic Qualifications Please see the fellowship page for more information: https
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surveys; Programming/scripting knowledge suitable for processing raw data for analysis (e.g., text manipulation); One or more computational environments for statistical analysis (e.g., MATLAB, Stata, R
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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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of new approaches to safely reverse aging and treat both rare and common diseases, while actively supporting the collaborative and innovative environment of the lab. Salary and Benefits This position is
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immunocytochemical analyses, circuit concepts, transcriptomic (and potentially proteomic) bioinformatics, small input RNA-seq, and high-level imaging, as well as research background in related studies. Junior
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at the intersection of academia and practice. For more information on D^3, please visit https://d3.harvard.edu/labs . D^3 is looking for candidates with diverse backgrounds and/or new perspectives. There are no
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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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, see the Geometric Machine Learning Group's website: https://weber.seas.harvard.edu For questions, please email mweber@seas.harvard.edu . Applications will be reviewed on a rolling basis. Basic
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tasks across various stages of the research process. Faculty mentors are committed to the mentorship and professional development of the fellows and to fostering a supportive, collaborative, and fun
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effect prediction. The fellow will work under the mentorship of Dr. Alex Luedtke and collaborate with an interdisciplinary team of statisticians, physicians, computer scientists, and health policy