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Massachusetts Institute of Technology | Cambridge, Massachusetts | United States | about 1 month ago
experiments to understand and improve tool performance, and – most importantly – by summarizing findings in white papers and application notes. A full job description can be found here: https://mitnano.mit.edu
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& Responsibilities: Information on being a postdoc at WashU in St. Louis can be found at https://postdoc.wustl.edu/prospective-postdocs-2/ . Trains under the supervision of a faculty mentor including (but not limited
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an impact on their communities. The College is the most comprehensive engineering program in North Texas, with 12 baccalaureates, 13 Master’s and nine doctoral programs. The University is classified as
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links and good communication skills with other members in group/core scientific staff in related program areas to gain exposure to, and build knowledge of experimental research activities and approaches
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well as a passion for quantitative-biology and synthetic-biology research. The ideal candidate should have a recent Ph.D. in microbiology, evolutionary biology, computer science, physics, applied mathematics
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. The University also offers a comprehensive benefit program to eligible employees. Please see this link for more information. Requisition No: D-25-CEE-00006 PI279344496 Create a Job Match for Similar Jobs About
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this position is in-person on campus at Princeton University. For more information about the Niehaus Center for Globalization and Governance fellowship program, please contact Jennifer Bolton, Assistant Director
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line. Total Compensation Calculator: http://www.cu.edu/node/153125 Equal Employment Opportunity Statement: The University of Colorado (CU) is an Equal Opportunity Employer and complies with all
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. Qualifications Basic qualifications (required at time of application) PhD in Political Science, Economics or a related Social Science OR be enrolled in a PhD program at the time of application. Additional
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technologies. The Pritykin lab (http://pritykinlab.princeton.edu ) develops computational methods for design and analysis of high-throughput functional genomic assays and perturbations, with a focus on multi