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: Develop data-driven numerical models (opinion models, norm dynamics, multi-agent systems). Network Science: Study social and temporal interaction networks using network physics tools. Simulation: Conduct
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Vision–Language–Action (VLA) models for tabletop and mobile manipulation. A key focus is leveraging whole-body, humanoid-style motion to improve perception and control, enabling robots to solve complex
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The Doctoral Candidate will: Perform numerical modelling of the three NDE techniques to evaluate the influence of relevant material property gradients on each NDE observable generating a sizable synthetic
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numerical models of rainfall–runoff and open-channel hydraulics in complex urban and rural settings to quantify flood depths, velocities, and risk; evaluating culvert/bridge performance and conveyance
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the mechanical behavior of these materials at the nanoscale. Subsequently, a molecular dynamics model will be developed to simulate the matrix–nanotube interaction, analyzing the effects of adhesion, orientation
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workload models and simulations that accurately mimic real-world traffic to establish scalability benchmarks. - Architectural Scrutiny: Participate in design reviews to identify performance risks in system
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Design Lab – works on modelling, control and optimization for mechatronic systems, industrial robots and processes (https://dynamics.ugent.be ). We are part of the department of Electromechanical, Systems
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and economic modelling to analyse both uptake and consequences of uptake. Furthermore, the project will use a variety of data including farm-level panel data and survey data. Preparations of existing
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Keen to push the frontiers of multiphase reactor modeling and accelerate the scale-up of emerging net-zero technologies? Join us at the Department of Chemistry and Chemical Engineering! About us Our
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& Sciences (SCMMS) provides an outstanding multi-disciplinary environment for the pursuit of cutting-edge cardiovascular and metabolic research (https://www.kcl.ac.uk/scms ). We study the fundamental molecular