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means contributing to a better tomorrow. Whether you are a current resident of our New Haven-based community- eligible for opportunities through the New Haven Hiring Initiative or a newcomer, interested
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, optimizing, and deploying AI models on HPC and GPU-based systems. Provide guidance on performance optimization, scaling, and efficient resource utilization. Contribute to architectural and design decisions in
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Systems and Control division focusing on data-driven control methodologies. About the research project Model-based control is arguably the prime framework to perform certifiably-safe regulation of dynamical
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20 Mar 2026 Job Information Organisation/Company Warsaw University of Technology Research Field Computer science » 3 D modelling Computer science » Autonomic computing Computer science » Computer
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Machine Learning (ML) models, including automated testing, reproducible builds, controlled release strategies, and governance workflow integration. Build and manage containerized infrastructure on AKS
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California State University, Northridge | Northridge, California | United States | about 4 hours ago
, security, privacy, access controls, and metadata management. Strong working knowledge of cloud-based data and analytics ecosystems and modern data architectures (e.g., data Lakehouse, medallion architecture
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-driven methods provide excellent performance under low or cyclo-stationary regimes but struggle with highly dynamic and rapidly varying conditions; conversely, model-based state observers ensure robustness
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Débarre at the Lab. for Interdisciplinary Physics in Grenoble and of Dr Sigolène Lecuyer at the Physics Laboratory at ENS Lyon. You will be based principally in Grenoble, with secondments in Lyon and other
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to staff position within a Research Infrastructure? No Offer Description Postdoctoral Research Associate - Advanced Laser Cladding Metal Matrix Composite Coatings - Modelling and Optimization Full time
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. • Design, implement, and rigorously evaluate novel AI models and algorithms for multimodal inputs. • Build robust pipelines for data curation, preprocessing, and quality control for noisy, imperfect, and