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ALMA MATER STUDIORUM - UNIVERSITA' DI BOLOGNA - - DIPARTIMENTO DI INGEGNERIA INDUSTRIALE | Italy | 29 days ago
Description Analysis and development of methodologies to accelerate the computation of numerical optimization through parallelization and the use of GPUs. Where to apply Website http://www.unibo.it Requirements
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Efficient and Reliable Numerical Solution of Dynamic Optimization School of Electrical and Electronic Engineering PhD Research Project Self Funded Dr Yuanbo Nie Application Deadline: Applications
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Numerical Study of Soil Remediation by Thermal Desorption with a Focus on Industrial Decarbonization
parametric numerical study to improve the geometric configuration (number and placement of heating probes) and optimize operational parameters. Explore decarbonization scenarios by combining technological
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simulation of fluid flow in pipelines Knowledge of CO₂ transport, leak detection, or pipeline optimization methods is an advantage Familiarity with scientific software, numerical solvers, and computational
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research related to the application of computational mechanics techniques and numerical simulations for the topology optimization of structures considering a minimum weight approach and advanced constraints
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Description Mathematical modeling forms the basis for understanding, simulating, optimizing and controlling numerous scientific phenomenon and associated measurements. Mathematical models frequently take the
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called Tiramisu [1]. Unlike existing frameworks, Tiramisu can perform advanced code optimizations that are hard to apply otherwise. Because of this, Tiramisu can generate fast code that outperforms highly
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Expansion: Implementing the next phase of the project to transition from rigid-body models to sophisticated systems for protein ensemble modeling. Computational Optimization: Resolving hardware-specific
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numerical simulations with optimization algorithms and software tools. · Carry out experimental validation of simulation results Is Your profile described below? Are you our future colleague? Apply now
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. The optimized numerical approaches will allow enlarging the investigated parameter space during the optimization routine and to envision multi-objective schemes aimed at the concurrent evaluation of multiple