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Identification of mathematical models for the fluid flow and flow patterns Estimation and soft-sensing of non-measurable process variables Optimization and learning control of the flow by manipulating the plug
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interfacial chemistry on the atomic-scale is as yet unresolved, owing to the lack of sufficiently suitable analytical capabilities. In this project, the PhD candidate (m/f/x) will employ atom probe tomography
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SAS), will be used. PhD candidate will acquire a broad range of experimental skills in materials diagnostics (e.g., X-ray diffraction, atomic force microscopy, Raman spectroscopy, and advanced
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research in one of the Department's key research areas: (i) Artificial Intelligence and Machine Learning; (ii) Big Data Analytics and Management; (iii) Computer Vision and Pattern Recognition; and (iv
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applied methodologies in Data and Image Analysis, Computational Imaging, Statistical Learning, Uncertainty Quantification, Robust Estimation, and Deep Neural Networks. The group combines expertise in
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autonomous and efficient network/service management. The PhD candidate will investigate innovative mechanisms for distributed learning, real-time analytics, and AI-driven decision-making across heterogeneous
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different environments influence behaviour and wellbeing. Advanced analytics, including AI and machine learning, will be used to interpret behavioural and emotional data, enabling real-time insights
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IT4Innovations National Supercomputing Center, VSB - Technical University of Ostrava | Czech | 17 days ago
research, development, and innovation centre active in the fields of High-Performance Computing (HPC), Data Analytics (HPDA), Artificial Intelligence (AI), and Quantum Computing (QC) and their applications
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. You will combine technical work on machine learning with qualitative analysis of how AI systems are interpreted and used in organisational decision-making. Join the Human-Centred Computing group
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and capacity to acquire new knowledge and skills. A responsible work ethic characterised by analytical thinking, consistency, and strong communication skills. Information on the selection process: If