692 engineering-"https:" "https:" "https:" "https:" "Data driven Materials Modeling" positions at Harvard University
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of expertise. HUIT offers opportunities for IT professionals to learn and work in a unique technology landscape and service-focused environment. If you are a technically proficient, nimble, user-focused and
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unique technology landscape and service-focused environment. If you are a technically proficient, nimble, user-focused, and accountable IT professional who also connects with the importance
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findings in internal meetings and scientific publications Basic Qualifications PhD degree in neurobiology or a related field Prior experience with bioinformatic analyses, viral engineering, neuroanatomy
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at https://postdoc.hms.harvard.edu/guidelines . With this appointment, you are represented by the Harvard Academic Workers (HAW) – UAW for purposes of collective bargaining and matters affecting your
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our work, grow professionally, and aim for the extraordinary Learn more about Financial Administration (harvard.edu) and our eight reporting units. (https://finance.harvard.edu/) Job Description The
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for significant contributions to the department, University, and wider scholarly community. Special Instructions: Please submit the following materials through the ARIeS portal (https
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organizational skills. Special Instructions: Please submit the materials listed below through mathjobs.org: https://www.mathjobs.org/jobs/list/28741 Priority will be given to applications received before
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contributions to the department, University, and wider scholarly community. Special Instructions: Please submit the following materials through the ARIeS portal (https://academicpositions.harvard.edu/postings
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zebrafish brain at over 200 Hz. The postdoctoral fellow will play a leading role in designing, building, integrating, and validating the next-generation platform. More information is available at https
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applications from recent PhD graduates who are interested in this field, particularly those who may bring a new technology or perspective to bear on the work in the lab. Prior experience working either