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focus on translational Research, Development & Deployment which focus on specific area of the energy value chain, and a number of Living labs and Testbeds which facilitate large scale technology
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Research Associate (Artificial Intelligence/Computer Science/Optimization/Computational Linguistics)
-series foundation models. Develop and evaluate AI models: Agent-based and LLM-based models using frameworks such as PyTorch, TensorFlow, HuggingFace Transformers, and LangChain. Prototypes for LLM-powered
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-efficient and scalable computing architectures while developing strong research, design, and publication capabilities. Key Responsibilities: Conduct doctoral research on open-source processor architectures
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algorithms into the real development progress Preparing academic publications such as patent applications and research papers Contributing to quarterly and annual report writing and presenting Requirements
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models, focusing on industrial image analysis Develop advanced deep learning methods for power battery inspection models Design and implement novel algorithms for AI-based CT imaging Lead experimentation
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communication skills. Proficiency in developing deep learning models using frameworks such as PyTorch and TensorFlow. Research experience in medical image analysis using deep learning algorithms. Strong track record in
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University. Key Responsibilities: Conduct research on methods and approaches to support air traffic management studies and applications. Develop, test, and evaluate analytical models, algorithms, and tools
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research in MAE addresses the immediate needs of our industries and supports the nation’s long-term development strategies. In the new era of industrial 4.0 and sustainable living, MAE is rigorous in
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focused on using advanced numerical methods to explore low energy dynamics in strongly interacting quantum spin systems. The candidate will develop and implement advanced algorithms to investigate
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in the 2025 QS World University Rankings by Subjects. We are hiring a Research Fellow in Signal Processing and Machine Learning to develop signal processing and machine learning algorithms and methods