10 finite-element-methods Postdoctoral research jobs at Brookhaven Lab in United States
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spectroscopic methods. Experience with basic synthetic methods, electrochemistry, and sample preparation under inert conditions. Kinetic modeling, thermodynamics, electron transfer. Environmental, Health & Safety
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materials and associated heterostructures, such as those based on 2D transition-metal dichalcogenides (TMDCs), and perform nanofabrication and electrical characterization of 2D heterostructure devices using
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the field of photochemistry/catalysis, electrochemistry/catalysis, organic electronics or spectroscopy. Use of pulse radiolysis, optical transient absorption or related spectroscopic methods Proficiency in
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or heterogeneous catalysis of small molecule activation. Density functional theory applications to transition-metal containing molecular complexes. Hybrid quantum mechanics/molecular mechanics (QM/MM) methods
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and synchrotron radiation, with the goal of informing component design, shielding, and electronics protection strategies. The successful candidate will work closely with the beam optics, lattice, and
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quality single crystals of quantum materials and study them with transport and advanced electron microscopic methods. These experiments will be integrated in a dynamic team environment, including
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The NSLS-II is seeking an exceptional Postdoctoral Research Associate to join a collaborative research effort on developing novel methods, applicable for extreme ultraviolet lithography (EUVL
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materials and their unique physical phenomena, such as metal-insulator transitions, charge-spin-lattice correlations, and the critical role of defects and interfaces. Utilizing state-of-the-art electron
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supporting end-users of applied ML methods including interpretability/explainability (XAI), and reliability. The position provides access to world-class computing resources, such as the BNL Institutional
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optimization. Basic knowledge of integrated circuit design, including digital simulation and logic synthesis. methods, and other related topics pertaining to fast AI model inference. Experience working in