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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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, neural data analysis, or modeling neural activity from large-scale recordings. Ability to work effectively in a collaborative research environment and communicate technical work clearly. Additional
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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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computational biology or biological data analysis. Strong candidates may come from protein-focused, cell-state-focused, or multimodal biological modeling backgrounds and will have expertise in one or more of the
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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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discriminated against on the basis of race, color, sex, sexual orientation, gender identity, religion, disability, age, genetic information, veteran status, ancestry, or national or ethnic origin. Employment is
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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
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-assays; engineer orthogonal kinase-substrate pairs and split-enzyme systems; collect and analyze data using techniques such as flow cytometry, RT-qPCR, next-generation sequencing, ELISA, and