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to provide actionable information to advance coastal resilience planning. Required Documents: Cover letter specifying relevant qualifications, current research interests, and expertise; curriculum vitae; and
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Qualifications Special Instructions Interested candidates should submit a cover letter, CV, a brief research proposal, and two to three references’ names and contact information. Applications will be reviewed on a
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multi-photon), viral vectors, protein engineering, mouse models, and multi-omics analyses. For further information on the lab, please visit: www.shigroup.org We welcome applications from postdoctoral
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data, and to discover new microbial metabolites. With potential applications in human health, agriculture, and the environment, we also elucidate the biological consequences of microbial metabolism in
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collaborative and international environment. Special Instructions Contact Information For further information, please contact [email protected] . Contact Email [email protected] Salary Range $67,600
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. Application review will begin on June 22, 2026. Applications will be accepted after that date but are not guaranteed review. Contact Information Anna Frej Contact Email [email protected] Salary Range
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available until 31 May 2028 in the first instance. To apply online for this vacancy and to view further information about the role, please click the 'Apply' button above. Please notice that if you have not
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Special Instructions Interested candidates should submit a cover letter, CV, a brief research proposal, and two to three references’ names and contact information. Applications will be reviewed on a rolling
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, and quantum information. Candidates should also arrange for letters of recommendation to be submitted by three scientists familiar with their work. Candidates may also wish to include selected preprints
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Massachusetts Institute of Technology | Cambridge, Massachusetts | United States | about 1 month ago
Posting Description POSTDOCTORAL ASSOCIATE, Mechanical Engineering, to perform cutting-edge research on projects centered around machine learning models for Computer Aided Design and Engineering