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measurements and/or Computational Fluid Dynamics (CFD) simulations. Specifically, you will assess where simplified assumptions in the model fall short. You will then train a machine learning model (such as PySR
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. This postdoctoral focuses on developing a new paradigm for the circular manufacturing of heterogeneous photonic integrated circuits. While heterogeneous integration has emerged as the leading approach for combining
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meaningful learning be redefined in today’s AI-enabled educational landscape? The project has the following overarching goals: (1) develop a theoretical framework of constructive alignment for AI-rich teaching
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technologically relevant problem. Project goal The project aims to develop a predictive, experimentally grounded understanding of how rapid solidification and ambient pressure shape molten-tin droplet impacts, and
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molecular characterization of astroblastoma tumors and developing human brain tissues. You will integrate bulk and single-cell -omics data to identify the molecular consequences of oncogenic fusion genes
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Analyzing the impact of battery chemistry, aging history, operational profiles, and pack architecture on second-life performance, safety, reliability, and lifetime using a Digital Twin. Developing
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project, you will develop and validate experimental methods to study wafer bonding in a quantitative and physics-based way. You will work on wafer bonding measurements and combine these with advanced
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on second-life performance, safety, reliability, and lifetime using a Digital Twin. Developing methodologies for battery diagnostics, state-of-health estimation, assessment, disassembly, reconfiguration, and
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Location ESTEC, Noordwijk, Netherlands Our team and mission The Space Environments and Effects Section supports the development of ESA missions and programmes by investigating the space environments
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these operations, and then train transformer models to predict sequences of operations in unseen data. Please see Weindel, Borst, & van Maanen, eLife, 2025, Weindel, van Maanen, & Borst, Imaging Neuroscience, 2024