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to enhance the performance of LFP batteries, with a particular emphasis on advanced material coating strategies. The project addresses the growing need to improve the surface properties and stability of LFP
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automated experimental systems to measure electrode performance and durability over extended operation. Investigate electrode material performance, aging, and degradation mechanisms for bioprocessing
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of high-dimensional datasets, and developing bioinformatic pipelines for high-throughput analysis in high-performance computing (HPC) clusters. The work provides the possibility to develop skills in
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colleagues in research dissemination events Assist FOSS and ISR colleagues in the preparation of research reports Perform other research related duties for FoSS and ISR Requirements a Ph.D. degree in social
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Associate to work in Miami, Fl. The Post Doctoral Associate performs scientific research and studies under the supervision of managing staff. Moreover, the Post Doctoral Associate promotes institutional
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, high-performance computing (HPC), dimensionality reduction, and machine learning. Your responsibilities will include publishing research in leading conferences and journals, contributing to grant
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. The group will be contributing to the Physics Modeling (MC software, MC validation and Pileup modeling), the MET High-Level Trigger validation, optimization and performance studies, and to the heterogeneous
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of devices, test rigs, and other experimental setups. Perform hands-on assembly and board-level work, including soldering of electronic components, wiring, and integration of hardware systems. Collaborate with
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focus lies on a complementary approach of compression testing and high-pressure torsion deformation. The experiments are performed on hydrogen pre-charged, nanostructured metals and require analysis
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Carnegie Mellon University is a private, global research university that stands among the world’s most renowned education institutions. With ground-breaking brain science, path-breaking performances