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vision, machine learning, deep learning and neural networks, as well as courses in python, GPU programming, mathematical modeling and statistics, or equivalent. We are looking for candidates with: A solid
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communications. Evaluation of model performance can be conducted based on the data collected through the water tank. We have the GPU machines ($14k) to develop deep neural networks for underwater communications
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Neural Network Potential to Meet your Neutral, Charged, Organic, and Elemental-Organic Needs. ChemRxiv2024,. doi:10.26434/chemrxiv-2023-296ch-v3Zhang, S.; Makoś, M. Z.; Jadrich, R. B.; Kraka, E.; Barros, K
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to be generated almost instantly on a smartphone. Surrogate models are typically based on data-fitting of results from more computationally expensive models, using techniques such as neural networks
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Sony STC focuses on R&D in various fields including machine learning and audio processing. The site has several audio laboratories and has an on-premise GPU cluster for simulation and neural network
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, you will leverage the power of graph neural networks – a novel ML architecture, capable of learning fundamental physical behaviour by modeling systems as graphs and encoding nonlinearities in these. As
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advantage if you can provide a link to a code repository of a project where you are the main contributor. Experience in implementing machine learning methodologies, specifically neural network-based methods
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neurocomputational models for real-world auditory scenes! Job Description As a PhD candidate in our research team, you will develop neurocomputational models that integrate deep neural networks with neuroscientific
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. Methodol. 33, 8, Article 211 (November 2024), 34 pages. https://doi.org/10.1145/3680470 [YVS17] T. -J. Yang, Y. -H. Chen and V. Sze, "Designing Energy-Efficient Convolutional Neural Networks Using Energy
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Mines Paris - PSL, Centre PERSEE | Sophia Antipolis, Provence Alpes Cote d Azur | France | 3 months ago
for prescriptive analytics based on artificial neural networks and prescriptive decision trees focusing on the energy trading application. The aim is to propose generic solutions for a broad number of