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Field
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technologies—and eager to accelerate their discovery with machine learning and materials theory? Are you passionate about linking atomistic processes to device performance through computer simulations? Are you
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candidates who can integrate Agentic AI with systems thinking, agent-based modeling, and system dynamics, thereby linking advanced AI with methods for analyzing, simulating, and designing complex socio
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this vacancy contributes to the development of the above EmPowerED toolbox by developing simulation models for individual physical components of a PED to be used as building blocks for integrated PED models
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responsibilities will include: Design and develop analog circuits for implementing ONNs for computing. Modeling, simulate and benchmark different computing tasks such as sensor data processing. Explore ONN
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for implementing ONNs. Modeling, simulate and benchmark different computing tasks such as combinatorial optimisation tasks and solving partial/ordinary differential equations with ONNs. Design and tapeout ONN chips
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modification techniques for metals and high-end polymers to reduce friction and wear under high contact pressures. Tribological testing under various environmental and loading conditions. Modeling and simulation
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-based modelling, quantitative resilience assessment, and risk analysis to simulate and optimise resilience strategies. The framework will be tested and refined through pilot studies in collaboration with
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roadmap for metrology . The project will involve mathematical modeling, numerical simulations and, potentially, measurements. You will mainly do your programming work in a mixed programming environment, i.e
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experience in experimental durability research of construction materials; Solid background in numerical simulation and multi-scale modeling; Strong publication record in relevant journals; Excellent written
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part of the NWO-M 2024 research project “Real Fake: How Highly Immersive Disinformation Affects What People Believe”. The project investigates how people respond to immersive disinformation: highly