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learning) and model-driven (physics-based) methodologies. Our goal is to integrate the precision of computationally intensive atomistic models into macroscopic approaches, while drastically reducing
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View All Vacancies Physics & Astronomy Location: UK Other Closing Date: Saturday 21 September 2024 Reference: SCI281 Supervisors: Prof Ioan Notingher (School of Physics and Astronomy) Dr George
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Description of thesis topic Turbulence in magnetic fields, or magnetohydrodynamic turbulence, is a fundamental process that underpins our understanding of a variety of natural and industrial
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of continual learning and Natural Language Processing (NLP) to automate the cyber-attack attribution process . - Establish solutions for automatic identification of attacker-oriented countermeasures
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Challenge: Solve computational bottlenecks in the modelling of mechanics of metallic systems. Change: Develop new physics-informed machine learning algorithms and predictive models. Impact: Enable
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, Mechanical Engineering, Computing, Physics or related areas. In particular, we invite applications from all interested candidates who have a strong mathematical background with an interest in modelling. A
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Centre, this project will encompass manufacturing process development, material parameter optimisation through finite-element simulation, and rigorous testing and validation of functionality and
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The School of Social Sciences at Heriot-Watt University is offering a full-time PhD studentship funded by the Engineering & Physical Sciences Research Council (EPSRC) to start in March 2024
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techniques. The industrial stream has high nutrient and salt concentrations, which hinders the conventional wastewater treatment or AD process. The use of eco-engineering will allow to adapt more tolerant and
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Engineering and Technology). Data science has three clusters: DAI (Data and Artificial Intelligence), PA (Process Analytics), and VIS (Visualization). The PhD position for which this call is, is in the cluster