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Engineering, Computer Science, or a related field. Accompanying Knowledge, Skills, Abilities and Competencies Excellent abilities in molecular modeling and simulations (molecular dynamics or Monte Carlo
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team as a PhD candidate to work on beyond the state-of-the-art model distillation and robustness methods, enabling efficient, reliable inference for challenging real-world problems in the semiconductor
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comparison with analytical modeling and full-wave simulation results. This position is part of the MetaTune Doctoral Network "Reconfigurability using inversely designed metasurfaces", which has been funded
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discussion sessions; participate in simulation and physical diagnosis and skills labs Develop criteria and procedures for didactic and/or clinical courses consistent with ARC-PA Standards Perform additional
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energy consumption. The demonstration of high-power energy recovery (exceeding 1 MW), particularly for high currents, remains a major challenge. It requires detailed simulations of beam dynamics o study
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. • Design, implement, and train machine learning models for tasks such as object detection, recognition, and image segmentation. • Develop scalable training pipelines and optimize models for real-time or
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) computational simulations to understand both the electronic states of enzyme intermediates and the transitions between them. As a joint studentship, around half of the project will be based in Manchester and half
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-world datasets. The core responsibility is to build and validate federated causal inference algorithms through simulations and live demonstrations. Key Responsibilities Participate in and manage the
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Description Mission: Perform the characterization and simulation of CO2 capture and reuse processes. Functions to be developed: Characterize, simulate and model processes for capturing, purifying and reusing
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research on road infrastructure and safety, with a particular focus on digitalization in road design, data-driven safety assessment, and the integration of AI and simulation tools to improve traffic safety