335 data-"https:"-"https:"-"https:"-"https:"-"https:"-"U.S" Fellowship positions in United States
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, and in vivo electrophysiology. The successful candidate will be responsible for designing and executing animal experiments and analyzing multimodal biological data. Basic Qualifications Ph.D. in a
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, including other Harvard Medical School-affiliated hospitals. The qualified candidate will analyze multi-omics liquid biopsy data for minimal residual disease (MRD) detection, quantification, and assessment
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design (using computer-aided software). Special Instructions A cover letter and current CV are required as part of the application. SEAS is dedicated to building a diverse and welcoming community, and we
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description of past research and future interests, and why you are interested in the Morad Lab (1 page max) A curriculum vitae Contact information for minimum 2 references Contact Information Viktoriia Morad
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). The postdoctoral fellow is expected to collect and analyze data, summarize findings, and participate/assist in the preparation of scientific manuscripts, abstracts, posters, and possibly grants. The duties also
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Information Mark Peterson Contact Email mpeterson@seas.harvard.edu Salary Range $67,600 – $91,826 Pay offered to the selected candidate is dependent on factors such as rank, years of experience, training
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. Responsibilities* Empirically characterize sand samples through shear testing, CT scanning CAD and 3D print models for sand intrusion Design and perform impact experiments. Collect data using high-speed video
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Information Nicole Grenier BHI Division Administrator 617-496-8956 Contact Email nicole.grenier@cfa.harvard.edu Salary Range $17,000-$19,000 total for three month period. Minimum Number of References Required 3
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physiology and pathogenesis. 2) Development of novel drugs to treat MASH, diabetes, and cancer. For more information on Dr. Wendong Huang’s research, please visit here . Your qualifications should include
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through cutting-edge research. A postdoctoral research fellow position in the department of Computational and Quantitative Medicine. For more information about Dr. Vaidehi’s lab, please visit here. As a