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ecology; experience with programming and simulation is an advantage. Excellent analytical and critical thinking skills, with the ability to relate model structure to outcomes and interpret them in
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. However, while the leaky integrate-and-fire (LIF) neuron is the current de-facto neuron model in neuromorphic hardware, it embeds only one single time constant limited to a few tens of milliseconds
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often proprietary, fragmented, or nonexistent. Despite this, researchers managed to develop generative AI models capable of producing vessel hull designs. Yet, these models face limitations: they often
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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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behavioral modeling methodologies. In FlexMobility we propose a holistic approach to design a public transport network that includes both traditional fixed lines and flexible on-demand services, while
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candidate will gain training in chemical biology, molecular genetics and cell biology, and use physiologically relevant in vitro and in vivo models. The work will be carried out in an interdisciplinary
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2 Oct 2025 Job Information Organisation/Company Delft University of Technology (TU Delft) Research Field Engineering » Process engineering Engineering » Simulation engineering Researcher Profile
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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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-edge infrastructures, and emerging AI-driven user applications. Key research directions include: Modeling and profiling of emerging AI-based workloads and data-intensive applications in mobile networks