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Field
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Models with Algorithmic Reasoning Tasks We are seeking a postdoctoral researcher to contribute to our lab’s mission of aligning machine learning (ML) models with algorithmic reasoning tasks. Our goal is to
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Description The Quantum Information team at UMass Amherst is involved with modeling and optimization of quantum hardware, as well as development of new modeling methods and algorithms, in collaboration with
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play a central role in this interdisciplinary initiative. They will: Develop and apply machine learning (ML) methods – including surrogate modeling, feature extraction, and inverse design algorithms
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) Employee Classification: Other Institution: Southwest Tennessee Community College Department: Men’s Basketball Campus Location: STCC - Multiple Campus Locations Job Summary The Men’s Basketball Social Media
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focus will be on developing compact, efficient, and real-time LLM algorithms/hardware on the edge and developing demos for specific applications such as speech disorder therapy. Your responsibilities will
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aimed at breakthrough innovations in model capabilities, reasoning, safety, and efficiency. Algorithm & Model Development (LLMs & AIGC): Design and develop novel architectures for large-scale language and
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- conducting processors with respect to practical short-depth (NISQ) quantum algorithms Cooperate and actively work with experimental partners developing quantum processors using these technological platforms
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École nationale des ponts et chaussées | Champs sur Marne, le de France | France | about 16 hours ago
combining multiple ML models have been explored to optimise predictions, enabling algorithms to collaborate and achieve better results. Ensemble methods, in particular, have demonstrated superior performance
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programming algorithms and data structures Able to appropriately communicate challenges and issues Able to handle multiple tasks or projects at one time meeting assigned deadlines KNOWLEDGE KEY LEARNING
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Previous publications The grade point average of the master’s degree A curious mindset with a strong interest in medical image analysis and the development of advanced analytical algorithms with clear