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invites applications for a post-doctoral scholar position focused on the development of high-performance, low-carbon cements and concretes for infrastructure applications. The group leads cutting-edge
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professional references will be requested during the application review stage. The selected candidate will be required to submit official transcripts (and, as applicable, U.S. degree equivalency evaluations
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Organization U.S. Department of Energy (DOE) Reference Code DOE-FES-2026 How to Apply Completed applications are due to be to submitted in Zintellect on January 15, 2026. Applications are reviewed
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facilities, and opportunities for cross-laboratory projects, career development, and national collaborations through the ABA, SHOCK Society, CNTR, ABuRN, and related networks. Certificates/Credentials/Licenses
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network modeling to address real-world policy challenges through algorithm development and technical analysis. Key Responsibilities Conduct original research in generative AI Train and supervise graduate
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complete, sign, and upload the required Authorization of Information Release to your application. Reference requirements 3-5 required (contact information only) Apply link: https://aprecruit.ucmerced.edu
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) Apply link: https://aprecruit.ucmerced.edu/JPF02033 Help contact: soe-adminopservices@ucmerced.edu About UC Merced As a condition of employment, the finalist will be required to disclose if
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to your application. Reference requirements 3 letters of reference required Apply link: https://aprecruit.ucmerced.edu/JPF02021 Help contact: soe-adminopservices@ucmerced.edu About UC Merced As a
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will involve applying multiple time-dependent electronic structure and nonadiabatic dynamic methods to model the CISS effect in molecular systems. Method development, potentially in the realm of time
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conferences. Mentor undergraduate and graduate students in the lab. Participate in professional development activities. Ensure best practices in data and project management. Stay current with technological