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familiarity with bioinformatics workflows for microbiome, genomic, or ARG data. Computational modeling & systems thinking Strong quantitative aptitude and interest in agent-based modeling, simulation, and
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: Developing a system-theoretic framework that models learning as the feedback interconnection between continuous-time circuit dynamics and optimization algorithms. Designing novel energy-based learning
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models of airflow dynamics, i.e., CO2 level, temperature, humidity, using microclimate sensor and CFD simulation data from other researchers. Optimal sensor and actuator placement, aiming at cost and
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to contribute to high-tech applications, state-of-the-art modelling or experimentation of advanced sustainable materials across the scales? We are looking for outstanding and enthusiastic PhD candidates, with a
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wave equations. In the project, we will develop a new mathematical and computational framework that combines PDE-based modelling with ideas from data-driven reduced-order modelling. The aim is to obtain
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. This includes building model-ready databases, developing simulation chains that link process simulations with analysis, making workflows for validation, and contributing to developing AI-driven tools
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Are you a highly motivated researcher passionate about urban climate and hydrometeorological modeling, urban biometeorology, and climate-sensitive urban design? Do you want to pursue a PhD study
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integrates Agent-Based Models, hydrological and flood models. GEB can simulate the dynamics between multiple hazard risk, how these risk impact society, vulnerability of different sectors, and how society can
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23 Jun 2026 Job Information Organisation/Company DIFFER Research Field Computer science » Modelling tools Computer science » Programming Engineering » Chemical engineering Engineering » Simulation
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that harness mechanics and geometry. As a PhD candidate, you will adopt and extend in-house homogenized constrained-mixture (finite element) models for cardiovascular tissues towards simulating cartilage G&R