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Field
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-photonic computing architectures; Silicon-photonic network architectures Machine Learning Algorithms/Systems: Experience in design and use of ML algorithms; Experience in using ML for designing computing
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the laboratories of Dr. Jason Rock in the Department of Ophthalmology and Immunology and Dr. Sören Müller in the Computational Sciences Center of Excellence at Genentech. The Rock lab combines in vitro and in vivo
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architectures for explainable dual-process computation Design and development of deep neural network architectures and algorithms for the implementation of dual process computation approaches that improve
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computer vision algorithms to detect clinical interventions performed by nurses and situations of agitation and risk of falling. Volume of data available for the project: Video capture in a hospital
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. Interest in clinical algorithm development and dexterity with biostatistical coding in R or Python is a plus. The primary goal of this aspect of the CH CARE Study is to combine serially obtained somatic and
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, including machine learning, computer vision, adaptive data modelling, and computational imaging. The objective is to develop state-of-the-art machine learning algorithms for solving ill-posed inverse problems
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, including machine learning, computer vision, adaptive data modelling, and computational imaging. The objective is to develop state-of-the-art machine learning algorithms for solving ill-posed inverse problems
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techniques (especially program synthesis) to improve the explainability and robustness of AI models Participating in co-operation with Continental’s development team Interacting with Continental business areas
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School of Electrical Engineering and Computer Science Full-time (100%), fixed-term position for up to 2 years Base salary will be in the range $82,057.75 - $109,246.18 + 17% Superannuation (Academic
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The University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 1 month ago
: 238003 Vacancy ID: PDS003562 Position Summary/Description: T32 Postdoctoral Fellow position. This is a one-year, time limited position with the possibility to extend to 2 years. This is a computational