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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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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
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operating procedures (SOP), build capacity at the KZN sequencing facility by train staff members in the development and implementation of the optimal sequencing workflows at the KZN laboratory. You will
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, conduct experimental campaigns, perform materials synthesis and analysis, sub-component fabrication, process optimization and integration, and prepare technical documents and research publications. Present
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. REQUIREMENTS PhD in Bioinformatics, Computational Biology, or a related field. Strong experience in bioinformatics and analysis of next-generation sequencing data. Proficiency in programming languages such as R
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-performance SWIR and exploratory room-temperature MWIR detection. Candidates should hold a PhD in chemistry, materials science, electrical engineering, applied physics, or a related field, with expertise in
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PhD (within the last 0-5 years) in field of materials science, chemistry, chemical engineering, computer science, or a related field Experience operating and troubleshooting laboratory automation
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for predictive modeling, high-dimensional optimization, uncertainty quantification, forward and inverse design, including the development of Digital Twin components, under the supervision of Prof. Douglas H
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, they will be involved in: • the implementation, optimization, and operation of cryogenic devices and systems; • performing low-temperature experimental measurements; • the development and experimental
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. Qualifications All required qualifications must be clearly documented in the application materials. Required Qualifications: • PhD in Electrical Engineering or a closely related field. • At least four years of