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National Energy Technology Laboratory (NETL) | Pittsburgh, Pennsylvania | United States | about 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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the sufficient imaging resolutions (sub-20 nm) measurements become slow, and because dose accumulates with every repeated measurement, radiation damage sets a hard limit on how long a process can be
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, conduct, and optimize laboratory experiments aligned with the project pre-defined goals. Responsibilities include sample collection, processing, and preparation for further molecular, cellular, and
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of advanced photonic integrated circuits (PICs) for optical switching and processing applications. Key Responsibilities: The selected candidate will be expected to: Design, simulate, and optimize integrated
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well as to investigate protein–ligand interaction properties; performing protein crystallization and crystal optimization using the robotic facility available in the Structural Biology Laboratory; providing samples and
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experimental trials on metal additive manufacturing processes - Ability to design and execute experimental plans (DoE) for process investigation and optimization - Ability to acquire, process, and analyze
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cartilage and intervertebral discs under biomimetic loading conditions, coupled with advanced imaging systems. - activities: Adapt and optimize the SOLANO miniaturized hexapod robot (Symétrie) for high
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results effectively to academic, industrial, and general audiences. Key responsibilities Lead the design, commissioning, operation, and optimization of high-temperature reactors for methane and natural-gas
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collaboration with the surface-chemistry postdoc. Responsibilities Fabricate CQD infrared photodetectors using solution-processed thin films. Optimize device structures, transport layers, electrodes, and
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candidate will support research and development projects that advance the state of the art in machining science, machine tool design and characterization, manufacturing process optimization, and digital