255 structures "https:" "https:" "https:" "https:" "https:" "https:" "Birmingham Newman University" positions at Harvard University in United States
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1050 Boston, MA 02115 Contact Email david_lucas@hms.harvard.edu Salary Range Information regarding postdoctoral fellow salary, which is determined by the number of years post PhD, can be found at https
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@hcp.med.harvard.edu Salary Range Postdoctoral Specialist (/“Research Fellow”) salaries are available here: https://postdoc.hms.harvard.edu/guidelines#Salary-Stipend Minimum Number of References Required 2 Maximum
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at: https://projects.iq.harvard.edu/ultra-qm . Applicants may also be considered for a potential future Gordon and Betty Moore Foundation Postdoctoral Fellowship. This fellowship would provide funding for up
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Benefits This position is salaried and benefits eligible. Information regarding postdoctoral fellow salary, which is determined by the number of years post PhD, and benefits can be found at https
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solver who wants to be part of a dynamic team. Learn more about the innovative work led by Dr. Don Ingber here: https://wyss.harvard.edu/technology/erapid-multiplexed-electrochemical-sensors-for-fast
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(https://www.hsph.harvard.edu/lin-lab/ ), Professor of Biostatistics and Professor of Statistics. The postdoctoral fellow will develop and apply statistical, machine learning (ML), and AI methods
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experience in their domain. Applicants should submit a cover letter and CV online at https://academicpositions.harvard.edu/postings/15561 Review of applications will begin December 1 and full consideration
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an environment that is diverse, inclusive and respectful. Learn more about our lab here: https://bioniclab.seas.harvard.edu/ We are recruiting fellows from diverse backgrounds interested in solving tough problems
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basis until the position is filled. For more information, please visit our website, https://topo.chemistry.harvard.edu/ . Please note: This position is contingent upon funding and satisfactory
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University, led by Prof. Melanie Weber. This role offers an opportunity to perform research at the intersection of Geometry and Machine Learning, with a focus on studying geometric structures in data and