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to submitting your application, please review and update (if necessary) the information in your candidate profile as it will transfer to your application. Job Title: Post Doctoral Scholar Department: Engineering
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Massachusetts Institute of Technology | Cambridge, Massachusetts | United States | about 1 month ago
Posting Description POSTDOCTORAL ASSOCIATE, Nuclear Science and Engineering, to develop and apply high fidelity digital twins for nuclear systems colocated with large-scale data centers; focus
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: Pathology Biomedical Data Science Postdoc Appointment Term: 1 year (renewable) Appointment Start Date: As soon as feasible; February 2026 How to Submit Application Materials: Please email the required
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Posting Details Position Information Posting Number PG191544PD Position Number 00111580 Position Type Post Doc FLSA Exempt Departmental Information Department ID 118101 - Biological And Agricultural
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qualified family members; access to U of A recreation and cultural activities; and more! The University of Arizona has been recognized for our innovative work-life programs. For more information about working
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; experience with plasma physics, MHD stability, or fusion energy research; familiarity with large-scale data management, curation, FAIR data principles, and machine learning; experience conducting original
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to submitting your application, please review and update (if necessary) the information in your candidate profile as it will transfer to your application. Job Title: Post Doctoral Scholar Department: Medicine
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reports on results. Collects pilot data to help support new and competing renewal applications. Supervises undergraduate and graduate research students and performs literature reviews. Adheres to University
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{lPayScaleID} Overtime Status Exempt: Not eligible for overtime Appointment Type Restricted Salary Information Commensurate with experience Hours per week 40 Review Date November 30, 2025 Additional Information
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optimization schemes. From developing AI models to uncover structure-function relationships with limited data sets, to building automated electrode-electrolyte interface discovery workflows and implementing full