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Field
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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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, 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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, optimization, and characterization integrating imaging, experimental metadata, and diffraction outcomes. Design and deploy computer vision methods to detect and track crystal growth. Develop closed-loop
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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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, 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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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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. 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
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inflammatory bowel diseases, optimization of checkpoint cancer immunotherapy, complications of liver disease, autism, C. difficile infections, and others. This provides a unique model for real-world drug