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generating functions, and discovered algebraic P-fields, initiating an algebraic-geometric construction of A-model Landau–Ginzburg string theory. His recent interests include the mathematical formulation
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analysis of the ATLAS experiment data. The L2IT team plays a driving role within the ATLAS collaboration for the reconstruction of charged particle tracks using geometric deep learning (GDL). The person who
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, fabrication data, inspection results and carbon footprint information. Develop, train and validate AI models to automate QA/QC processes, enabling real-time verification, anomaly detection and consistency
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reconstructions of urban and industrial environments. The second axis of work will develop visual change detection – both at on object-level and geometric-level - using Visual Language Models such as CLIP, DINOv3
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relationship modeling, and chemoinformatics * publishing research findings in peer-reviewed scientific journals * supervising engineering and master’s theses (e.g., serving as a consultant) * teaching courses
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advancements achieved with the LHC is the discovery of the Higgs boson by the ATLAS and CMS collaborations in 2012, providing crucial experimental verification of the Standard Model (SM) of particle physics
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–Science research-creation project bringing together engineering, life sciences and design. This interdisciplinary framework will enable the candidate to develop innovative experimental models while engaging
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strong understanding of and application experience with Geometric Dimensioning and Tolerancing (GD&T) per ANSI standard Y14.5. Experience with 3D modeling and design software packages. Proven communication
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, or similar modeling software is highly valued. Experience with Finite Element Analysis (FEA) tools is highly valued. Knowledge of welding processes is a plus. Fundamental knowledge of Geometric Dimensioning
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width: discrete frequency comb ver-sus continuous spectrum, and the presence or absence of spectral dispersion. Added to this are kinetic effects (electron trapping, plasma wave broadening) and geometric