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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 17 hours ago
) strong communication skills – written and oral, c) ability to develop/translate model algorithms and develop new model code in Fortran, d) software skills needed to work with multiple observed and model
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. Understanding of machine learning algorithms (gradient descent, random forests, etc.) and deep neural network architectures (ResNet and Transformers). A broad understanding of machine learning methodologies and
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twins together with two PhD students, especially to propose new models and algorithms for complex maneuvers, and building a parametric autonomous model of drivers reproducing a close to reality human
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universities in the country. You’ll be met with opportunities to connect and collaborate with uniquely talented faculty, staff, and students across 13 colleges and multiple campuses and regional locations
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universities in the country. You’ll be met with opportunities to connect and collaborate with uniquely talented faculty, staff, and students across 13 colleges and multiple campuses and regional locations
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implementing cloud computing Test encoded methods on validated datasets and assess precision, recall, and other metrics of performance, and refine methods to produce stable and acceptable processing algorithms
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and improve performance Conducting neural recordings and stimulation in behaving monkeys. Programming in MATLAB or Python for data analyse Adapt and improve the machine-learning algorithm to the new
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Campus Open Date Oct 29, 2024 Description We are seeking multiple (3~4) highly motivated and collaborative Postdoctoral Research Associates with demonstrated skills in one or multiple areas
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 17 hours ago
looking for a postdoctoral fellow interested in developing either machine learning algorithms for high-resolution histopathology imaging/spatial-profiling data in combination with other modalities (e.g
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this interdisciplinary project, we are looking for a strong candidate to contribute to the development of quantum algorithms and applications, focusing on quantum walks and quantum machine learning on graph structures