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Field
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candidate will work collaboratively with investigators across the Division to develop innovative therapeutic formulations, optimize drug delivery systems, perform mechanistic and translational studies, and
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 15 hours ago
of microscopy, multiplexed immunofluorescence, spatial/protein imaging, or image-derived single-cell phenotypes. Machine learning, latent variable modeling, variational autoencoders, optimal transport, graph
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support the neutronics and thermal-hydraulics analysis. Major Duties/Responsibilities: Design, develop, optimize and analyze reactor models using world-class modeling and simulation codes (SCALE, VERA
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, optimize, and test advanced materials that will accelerate the deployment of higher performance nuclear energy systems. As part of our research team, you will assess the viability of accelerated irradiation
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, anatomical, locomotor, and other behavioral data using appropriate computational and statistical methods. 5. Develops and optimizes experimental approaches to identify spared and reorganized supraspinal and
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organometallic complexes. Designing and conducting experiments for reaction optimization and mechanistic studies. Analyzing experimental results using techniques including NMR spectroscopy, GC, and GCMS. Keeping
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scales from microchannels to full rack systems (5.) Develop physics and AI-based models to elucidate physics, perform optimization, and create surrogate models for system level simulators (6.) Participate
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data driven approaches (experimental dataset physics based model dataset) to achieve process optimization, defect prediction and property prediction in various AM processes. The additional specific
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projects focusing on hPSC differentiation, and modeling neurodegenerative diseases. ● Standardize and optimize advanced molecular and imaging assays ● Analyze complex multi-omic or functional datasets
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. Your responsibilities will encompass pioneering novel synthesis doping techniques for "quantum grade" diamond, optimizing surface termination methods, and developing deterministic synthesis of pertinent