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Field
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-deposited oxide films, and covalent or electrostatic functionalization (30%); 3. Build and optimize experimental hardware, including optical excitation and collection paths, microwave and RF delivery (30%); 4
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National Energy Technology Laboratory (NETL) | Pittsburgh, Pennsylvania | United States | 2 months ago
of Christina Lopano. This project will be hosted by the NETL Pittsburgh, PA campus. This project presents an educational opportunity in additive manufacturing to facilitate the optimization and integration
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biological approaches, in vitro cell culture systems, and novel mouse models. Optimal candidates will have experience with immunometabolism and use of these techniques and models. The overall goal is to
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with AMD MI300A GPU+CPU. 2. Perform benchmarking studies to enhance scalability and achieve high node-level efficiency, surpassing existing AMR frameworks. 3. Contribute to communication optimizations
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. Responsibilities and Essential Duties 1. Design and conduct laboratory- and pilot-scale experiments in hydrometallurgical operation. 2. Develop and optimize unit operations such as physical separation, leaching
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to investigate the neural mechanisms underlying motor learning and motor memory in mice. Establish and optimize all-optical two-photon neurophysiology and optogenetic approaches to examine motor cortical
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on environmental samples, incorporating appropriate controls to manage inhibition and contamination. • Apply and optimize molecular detection methods (e.g., qPCR, digital PCR, sequencing) and interpret the results
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control and optimization strategies, run high-performance numerical experiments, analyze data, and communicate your findings through journal publications and conference presentations. The ideal candidate
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, characterizing mass transfer and selectivity under flow conditions, and screening and tuning DES compositions to optimize solubility, speciation, and electrochemical accessibility for target elements
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to additive manufacturing (AM), virtual manufacturing, material characterization, topology optimization, and real-time sensing. This position resides in the Computational Sciences and Engineering Division (CSED