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components are in use. More specifically, the PhD position will look towards connecting different advanced software tools (of multi-physics and data-based models) simulating the metal AM process
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chemistry and molecular simulation methods to design, model and investigate protein dynamics and activity. This project uses molecular simulations to investigate protein structure, dynamics, interactions and
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to the SoN Director of Simulation and works in collaboration with faculty to ensure laboratory and simulation learning activities are effectively scheduled and supported, makes project requests to simulation
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-vehicle applications. The successful candidate will work on modeling and simulation of PLC channels, designing OFDMA (Orthogonal Frequency-Division Multiple Access) and spread-spectrum communication systems
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cluster, and the work will be carried out in close collaboration with experienced researchers at PGI-7. Your tasks include: Applying a 3D KMC simulation framework to model resistive switching in metal oxide
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real-time fault detection and predictive maintenance strategies. 3. Validation of AI models with real-world SCADA data, ensuring industry relevance. 4. A digital twin framework for safe, simulation-based
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. Job description: - first-principle modeling and simulations of electrolytes - development of new machine learning strategies and quantum simulation approaches - application of specially developed
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continuum modelling and finite-element simulations of multicomponent, multiphase electrochemical systems. • Ability to manage own academic research and associated activities • Previous experience
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. This position is within the RobustAssess project which is funded by the Forecasting Tipping Points programme of the Advanced Research and Invention Agency (ARIA). Climate model simulations are widely used to make
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modelling and finite-element simulations of multicomponent, multiphase electrochemical systems. Ability to manage own academic research and associated activities Previous experience of contributing