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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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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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, operation, and optimization of SPS- and PLC-based control systems for experimental equipment and beamline instrumention Integration of hardware and software interfaces (motors, detectors, sensors, sample
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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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California State University, Northridge | Northridge, California | United States | about 3 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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the potential of heat and flood mitigation strategies using nature-based solutions, in particular green–blue infrastructure, interacting with existing grey infrastructure. The focus is on modelling
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experiments in particle physics. Join Us! We are seeking a PhD candidate under the supervision of Jordy de Vries who focusses on precision calculation for low energy searches for beyond the Standard Model
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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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. Specifically, this project leverages industrial communication networks, distributed controllers, AI models, and state-of-the-art IBR-based infrastructure to optimize EV charging and energy systems. By
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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