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stereochemical control, and materials fabrication and characterization to develop next-generation precursors for high-performance carbon fibers. Specific to this position, the successful candidate will focus
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National Energy Technology Laboratory (NETL) | Pittsburgh, Pennsylvania | United States | about 24 hours ago
measurements have been advanced significantly in sensing technology development, the synthesis, testing and characterization in current research labs still require human operation and take a long time for
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. Application Materials Applicants should submit to [email protected] and formally apply to the Job posting. 1. A curriculum vitae. 2. A brief cover letter describing prior research experience, current scientific
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. Coordinate tapeout and fabrication of silicon photonic devices with commercial foundries. Characterize fabricated devices using optical and electrical test setups. Collaborate with interdisciplinary teams and
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institution systems may be submitted. Click here for detailed information about acceptable transcripts. A current resume/CV, including academic history, employment history, relevant experiences, and
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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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-precision electrical, thermal, and transport measurements on ferroelectric and multiferroic materials; designing, fabricating, and characterizing advanced devices for thermal management, logic, memory
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to multimodal readouts. ● Characterize how the benefits and harms of AI use vary across contexts and individual differences through core projects and collaborations with other researchers. ● Provide a pipeline
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or neuromorphic computing, or mixed-signal microsystems. Strong experimental skills in device characterization, electrical measurements, data analysis, and troubleshooting. A Ph.D. in Electrical Engineering
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operation, feedstock pretreatment and characterization, analytical measurements by LC and GC; experimental design, statistical analysis, bioprocess simulation through kinetic modeling. Additional training in