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Field
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systems in the face of modern constraints such as optimization under uncertainty, constrained query evaluation, or the design of efficient, explainable, and scalable query engines. The successful applicant
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and optimize large-scale training and inference runs for foundation models on JUPITER (multi-GPU/node, mixed precision, parallelization, I/O optimization) Integrate multimodal data sources (e.g., scRNA
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supercomputer, the world's first exascale computing system. This is a unique opportunity to engage in transformational research that advances the development of AI-ready scientific data, optimized workflows, and
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• Develop, consolidate, and optimize fMRI and EEG neurofeedback algorithms. • Design, integrate, and test standalone neurofeedback software (software suites for clinical environments). • Contribute
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(toliaslab.org (link is external) ), Tirin Moore (moorelabstanford.com (link is external) ), and other collaborators at Stanford. Role & Responsibilities: Design and optimize large-scale electrophysiological and
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Excited to shape the future of hearing aids? Ready to combine your expertise in Signal Processing, Optimization and Machine learning with Perception and Intelligibility? Job description Good hearing
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with the main objectives of the projects, meaning he/she must: 1. Develop and optimize end plates for solid oxide fuel cells (SOFCs) using multiphysics topology optimization, aiming to ensure structural
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and optimization, we use tools such as artificial intelligence/machine learning, quantum conputing, graph theory, graph-signal processing, and convex/non-convex optimization. Furthermore, our activities
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surgery. The duties include but not limited to: designing, implementing, and optimizing high-performance C++/C# software modules for real-time control, sensor fusion, and data analysis; developing unity
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? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description “Optimizing the functionality of Fe2P compounds through microstructural control