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in GPU programming one or more parallel computing models, including SYCL, CUDA, HIP, or OpenMP Experience with scientific computing and software development on HPC systems Ability to conduct
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) experience in code development with parallel programming techniques using the message passing interface (MPI) library Proficiency in writing code with C, C++ and/or Python Ability to demonstrate strong written
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Postdoctoral Appointee - Uncertainty Quantification and Modeling of Large-Scale Dynamics in Networks
Knowledge in modeling and algorithms for large-scale ordinary differential equations (ODEs) and differential-algebraic equations (DAEs) Proficiency in a scientific programming language (e.g., C, C++, Fortran
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defined benefit retirement plan, with 8.25% employer matching funds Additional Voluntary Retirement Programs: Tax Sheltered Annuity 403(b) and a Deferred Compensation program 457(b) Flexible spending
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of Minnesota Comprehensive Epilepsy Program (MINCEP). The successful candidate will be embedded within MINCEP and play a key role in supporting clinical epilepsy and neuromodulation activities, working closely
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animal inputs under feeding and management conditions in India. • Integrate the feed chemistry data being developed in a parallel project. • Travel to India to help implement the updated model. This would
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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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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 11 hours ago
interprofessional education to ensure a highly skilled workforce. Research: We develop and support a rich array of outstanding health sciences research programs, centers and resources. We provide infrastructure and
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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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. Integrate the feed chemistry data being developed in a parallel project. Travel to India to help implement the updated model. This would be as needed and no more than two times per year. Conduct a comparative