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LevelBachelor Degree or equivalent Skills/Qualifications Technical Skills: Simulation and modeling tools for engineering systems. Machine learning and deep learning frameworks: TensorFlow, PyTorch. Version
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deep learning’s applicability to achieve environmental sustainability. Post-disaster Damage Assessment Using Satellite Imagery and Machine Learning Supervisor Names: Dr. Muhammad Shafi This project will
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Inria, the French national research institute for the digital sciences | Paris 15, le de France | France | about 1 month ago
, curious, autonomous, proactive and dynamic. A specialization in optimization, machine learning, statistical learning or game theory is appreciated. Research experience is a plus. LanguagesFRENCHLevelBasic
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University of North Georgia is a University System of Georgia leadership institution and is The Military College of Georgia. More details on the UNG Mission, Values, Vision, and Culture can be found at https
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Adversarial Networks. Knowledge of and experience in Python, TensorFlow, Keras, or other Machine Learning toolboxes, is essential. Knowledge of and experience in Large Language Models is highly relevant
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and signature matching based on existing code. - Performance evaluation of the application on a Raspberry Pi (RPi). - Development of improvements to machine learning algorithms for anomaly detection and
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Wrocław University of Science and Technology / Faculty of Information and Telecommunication Technology | Poland | 12 days ago
creating a semantic repository for storing and indexing tax documents, designing machine learning algorithms to represent data in embedding spaces, and building tools for semantic search, interpretation
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and optimize their properties for neuromorphic computing through combined electrical and MOKE measurements, and train them to achieve artificial intelligence tasks. - Micromagnetic simulations - machine
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systems, and space applications. We combine theory, physics-based simulations, machine learning, and autonomous workflows to understand and design materials that can perform under conditions where