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. Objective: Develop and optimize workload-specialized interconnects and network-aware communication strategies to enhance the performance of AI and HPC workloads. Implement adaptive routing techniques and
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electrochemical characterization of designer interfaces. Position Requirements The successful candidate will be highly motivated and have a strong track record in problem solving and scientific publications
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capability and scalability of multi-scale and multi-physics simulation codes. Develop turbulent combustion models for predictive CFD simulations of combustion dynamics in rotating detonation engines (RDEs
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-aware multi-modal deep learning (DL) methods. At Argonne, we are developing physics-aware DL models for scientific data analysis, autonomous experiments and instrument tuning. By incorporating prior
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, academia, and industry, as well as other national labs and agencies, to solve some of the world’s largest and most complex problems in science and engineering. Objective: The goal for this postdoctoral
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as evidenced by publications and recommendations. Proven track record showing the ability to carry out independent and collaborative research in a multidisciplinary team while meeting project
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to play a leading role in at least one of these two aims, as well as participate in the development of experiments to test the methods. The multi-disciplinary team in this project includes researchers from
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collaborative multi-institutional team are required Ability to model Argonne’s Core Values: Impact, Safety, Respect, Integrity, and Teamwork Job Family Postdoctoral Job Profile Postdoctoral Appointee Worker Type
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models that combine T&D objectives (e.g., power flow limits, resilience) with aggregator/market participation; evaluate how microgrids and VPPs can offer services while ensuring reliable local operation
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implementing the scientific research, and for reporting relevant results in an appropriate form. The successful candidate should be highly motivated for research excellence and have a strong track record in