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unlock the data needed for the energy transition? In the NWO-funded SHARE project, you will develop AI models that generate realistic, privacy-preserving synthetic energy data for grid planning and
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at the interface of biophysical modeling, soft matter and cell mechanobiology at the Groningen Research Institute of Pharmacy, within the Faculty of Science and Engineering at the University of Groningen. What
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wind farms is essential for the transition towards a sustainable energy system. However, as wind turbines are installed increasingly close together, they interact through turbulent wind wakes. These
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organoids and immune-competent gut–microbe co-culture models to examine how early microbial colonisation affects immune-cell development, gut epithelium and immunity, with particular attention to naïve T-cell
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energy consumption. You will investigate the complete technology stack, including device physics, photonic and electronic design, modelling, chip layout, cleanroom fabrication, heterogeneous integration
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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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Offer Description Deploy detailed models of coupled ocean / sea ice processes, probe their turbulent interactions, compare with observations, and design parameterizations for global climate models. Job
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epigenetic editing delivered via lipid nanoparticles; Using a combination of cell models and human donor livers, you will investigate how these technologies can improve organ quality and increase the number
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systems, from sustainable energy grids to autonomous mobility. In this ERC-funded PhD project, you develop cutting-edge game-theoretic control and optimization methods. Job description Modern society
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largely by the rapid expansion of artificial intelligence (AI), cloud computing, and high-performance data processing applications. As AI models continue to increase in size and computational complexity