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for generative or analytical purposes (e.g., generative adversarial networks, convolutional neural networks, diffusion models, or other emerging methods), with evidence of application in research or professional
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investigating biological, artificial, and simulated neural networks (NNs). The position is based in Utica, NY. It also provides access to research resources from IU Bloomington. The successful candidate will have
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other researchers investigating biological, artificial, and simulated neural networks (NNs). The position is based in Utica, NY. It also provides access to research resources from IU Bloomington
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-quality research in Computational Neuroscience, including but not limited to areas such as artificial intelligence, convolutional neural networks, reinforcement learning decision making, memory
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programming and optimization for ML models, utilizing frameworks, like CUDA or OpenCL ● Experience with applied computer vision, such as convolutional neural networks and vision transformers is preferred
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the agricultural industry. Applicants that leverage machine learning, neural networks and/or artificial intelligence approaches are encouraged to apply. Location: The position will be based at Michigan State
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 1 month ago
, Artificial Intelligence, Neural Networks, Computational Biology, Bioinformatics, Biomedical Informatics or a related field. Programming experience in a language such as Python or R. Experience in writing grant
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, gravity field, and geodynamic processes using GNSS and InSAR data. - Seismology: real-time earthquake detection, seismic signal classification, and predictive modeling using neural networks. - Earth systems
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, computer science, data science, or related fields. The candidates are expected to have a profound knowledge on the majority of the following topics: Machine learning (deep neural networks) Bayesian machine learning
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emotional development, learning, school readiness, and educational achievement) and AI models of detection and intervention (e.g., machine learning, large language models, neural networks). To offer a few