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theoretically rich and highly relevant for contemporary organizations. You will work on a multi-method research programme combining behavioural experiments, simulation-based decision tasks, and physiological
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of Technology Carolina Urzúa-Torres develops mathematical simulations of electromagnetic waves in antennas and other applications. Such waves are notoriously difficult to capture in numerical simulations, but her
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challenging for classical computing architectures. Some of your responsibilities will include: Design and develop mixed-signal circuits for implementing ONNs. Modeling, simulate and benchmark different
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analog circuits for implementing ONNs for computing. Modeling, simulate and benchmark different computing tasks such as sensor data processing. Explore ONN implementation topology and its energy efficiency
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governance, simulation and modelling (agent-based modelling, discrete-event simulation, network models), data modelling / interoperability (e.g., ontologies/semantics, data standards, API-based exchange
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a strong background in computational modeling, optimization, and systems engineering, eager to develop advanced design and simulation frameworks for battery pack topology and e-powertrain integration
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have access to a wide variety of world-class laboratories, among which are UU’s Electron Microscopy Centre , the Geolab (including the Porous Media Lab), and the Earth Simulation Lab . We also have
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on developing a new multi-disorder prediction approach that integrates different sources of information. You work with analytical model development, extensive simulation studies and analysis of existing large
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of equipment – which of course includes AI. Meanwhile we are pushing the limits of applied mathematics, for example mapping out disease processes using single cell data, and using mathematics to simulate
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will be: 1. Advanced Numerical Modelling and Simulation: You will begin by developing a numerical model to simulate the complete thermal-fluidic performance of the magnetic refrigerator. This model will