606 data-"https:" "https:" "https:" "https:" "https:" "https:" "https:" "WENZHOU KEAN UNIVERSITY" positions at Harvard University
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Salary Range 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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. Further information can be found at https://postdoc.hms.harvard.edu/guidelines . Minimum Number of References Required 2 Maximum Number of References Allowed Keywords
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field · Experience with mouse work and mouse colony management · Expertise in flow cytometry and microscopy Additional Qualifications Special Instructions Required information: · CV · Research summary
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University More Jobs from This Employer https://main.hercjobs.org/jobs/21913689/program-assistant-digital-data-design-institute Return to Search Results
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position in biomedical informatics is available at Harvard Medical School to work at the intersection of advanced machine learning and large-scale biomedical data. The selected fellow will join a dynamic
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scientists, engineers, and/or doctors! The lab is committed to fostering lifelong learners in an environment that is diverse, inclusive and respectful. Learn more about our lab here: https
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. https://pai.seas.harvard.edu The postdoc is intended for one year but we anticipate there will be funding to potentially extend it to a second year. The postdoc will receive a generous salary as
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Instructions Please submit the following materials through the ARIeS portal (https://academicpositions.harvard.edu ). Candidates are encouraged to apply by October 3, 2025; applications will be reviewed until
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about the lab, please visit https://www.hsph.harvard.edu/onnela-lab/ . Contact Information Hassan Dawood Contact Email hdawood@hsph.harvard.edu Salary Range $75,000/year Minimum Number of References
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substrate to do novel work. In this role you will gain experience developing approaches to research and analyze large multimodal datasets, with data ready to analyze you can focus on developing research