35 parallel-programming "System Office" Postdoctoral positions at Argonne in United States
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systems. In parallel, they will design and develop agentic AI and physics-aware AI models to accelerate discovery and deepen mechanistic insight in catalysis. This work will be carried out in close
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) experience in code development with parallel programming techniques using the message passing interface (MPI) library Proficiency in writing code with C, C++ and/or Python Ability to demonstrate strong written
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linear programming, mixed-integer programming, nonlinear optimization, stochastic optimization, robust optimization, or multi-objective optimization. Experience integrating machine learning or data-driven
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at the Large Hadron Collider (LHC). The successful candidate will contribute to a broad research program that includes physics analysis, detector performance studies, experiment operations, and upgrade
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. The candidate will assume a primary role in spearheading the development of a comprehensive growth, synthesis, and innovative characterization experimental program specifically tailored to diamond
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experimental methods, and high-quality research outcomes. Key Responsibilities Plan and execute radiochemical laboratory experiments involving radiotracers, irradiated targets and materials, and aqueous
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to a collaborative, multidisciplinary research program focused on the chemical recycling of polymers and organometallic catalysis. You will work alongside scientists with diverse expertise to design
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. This position requires close collaboration with Argonne researchers and external principal investigators to support the timely execution of research programs. Responsibilities also include preparing technical
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communication skills, as well as the ability to work effectively in a multidisciplinary research environment. Major Action and Supporting Actions : Conducts experimental programs in in-situ and ex-situ ion
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breakthroughs in NV sensor synthesis and host diamond heterointegration. The successful candidate will operate at the interface of these programs, playing a central role in developing and optimizing next