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technologies in sustainable mineral recovery, direct extraction from aqueous sources, and electrochemical materials processing. The position offers opportunities to contribute to high-impact research, mentor
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genomics techniques with computational analyses to understand gene regulation in health and disease. Such models are based on multi-omics high-throughput assays, either performed by the Postdoctoral
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phenomena Create new reduced-order models and submodels related to fluid flow, heat transfer, thermochemistry, and electrochemistry in multiphase systems Use modeling tools such as computational fluid
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industrial leadership. Develop monthly program impact reports to share the status and findings of the program with DOE program manager. Deliver ORNL’s mission by aligning behaviors, priorities, and
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scientific journals and conferences Your Profile: A doctoral degree in Physics, Materials Science, Computer Science, Data Science, or related fields Proven experience with large language models (LLMs), natural
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Minimum Education and Experience: Applicants must have a Ph.D. in Civil and Environmental Engineering, Industrial Engineering, Coastal Marine Science, Computer Science, Electrical Engineering, or a closely
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Are you eager to contribute to an ambitious, high-impact project advancing sustainability through remanufacturing in a circular economy context? DTU is recruiting for multiple positions to join a
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/Credentials/Licenses N/A Computer Skills MS Office and willingness to learn software used in the research lab Supervisory Responsibilities No Required operation of university owned vehicles No Does
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ability to understand and communicate in English to sufficiently perform the job duties. Must be computer literate with proficiency and working knowledge of database and reporting tools such as Microsoft
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with Argonne National Laboratory, is a transformational academic unit exploring the intersection of science and engineering. In 2019, in recognition of our success, impact, and expansion, and the support