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Postdoctoral Appointee - Uncertainty Quantification and Modeling of Large-Scale Dynamics in Networks
: Expertise in rare event simulation, deep learning, and developing computationally efficient approaches for simulation and modeling in complex systems is highly desirable Experience with parallel computing
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parallel testing facilities for companion dogs and children, including equipment for eye-tracking, thermal imaging, touch screen studies, behavioral analysis from video. There is also the possibility
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. Demonstrated experience developing and running computational tools for high-performance computing environment, including distributed parallelism for GPUs. Demonstrated experience in common scientific programming
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. Scalability of Preprocessing Pipelines: Design and implement automated, parallel preprocessing workflows capable of handling multi-petabyte datasets efficiently while reducing throughput bottlenecks. Data
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with the use of laminar/neuropixel probes and electrical microstimulation to study attention and decision making networks in a behaving animal model together with parallel studies in humans. The project
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. Correlate fluorescence, label-free, mass spectroscopy, and microscopy data form a microarray platform to develop a parallel readout of protein function. Correlate and curate data from various instruments and
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 5 days ago
parallel experimental streams Experience with host-pathogen interactions, immune regulation, innate and adaptive immune responses Special Physical/Mental Requirements Special Instructions For information
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viruses. In parallel, the candidate will also develop and evaluate vaccines against these pathogens in animal models. The candidate will be responsible for writing proposals and publications, and training
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algorithm development and application. Familiarity with common scientific programming languages such as C++. Experience in parallel programming with one or more common parallel programming models, like MPI
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. Previous experience in computational modeling of atmospheric aerosols and parallel computing/software development is strongly desired. The term of appointment is based on rank. Positions at the postdoctoral