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Massachusetts Institute of Technology | Cambridge, Massachusetts | United States | about 2 months 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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Posted on Thu, 11/27/2025 - 22:30 Important Info Deprecated / Faculty Sponsor (Last, First Name): Hernandez-Nunez, Luis Stanford Departments and Centers: Biology Postdoc Appointment Term: Postdoc
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biology-experimental and/or theoretical biophysics-experimental and/or computational genomics-computer science, statistics, and/or machine learning with applications relevant to genomics-bioinformatics
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answering the questionnaire you may attach the documents. Qualifications Required Education Ph.D. in electrical and computer engineering, computational sciences, computer science, informatics, or related
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About the Opportunity JOB SUMMARY The Dong Theoretical and Computational Chemistry Lab at Northeastern University seeks an enthusiastic postdoctoral researcher to start as soon as possible
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learning algorithms and creating predictive models. This role will contribute to evidence-based processes and procedures for program quality review and assessment of outcomes data as well as develop
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for the 2026-2027 year. Renewal is contingent on satisfactory performance and continued funding. The aim of the program is to promote a group of promising scholars in the broad area of comparative politics, with
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motivated and collaborative researcher with expertise in engineering, materials science, or related computational fields to contribute to our growing research program in sustainable food packaging. Current
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National Aeronautics and Space Administration (NASA) | Cleveland, Ohio | United States | about 9 hours ago
? Please email npp@orau.org Qualifications Background in engineering, computer science, or a similar field. Background in software tools such as Matlab, Python, and C/C++ Experience developing machine
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or recent Ph.D. in applied/computational mathematics, computational science, chemical engineering, or related disciplines. Ideal candidates will have strong past experience in scientific machine learning