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for Affordable Housing Development project, you will be responsible for developing digital design tools and systems that support modular housing workflows. This includes plugin development for parametric modeling
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with an interdisciplinary team, you will investigate how linguistic information is represented, accessed and modelled. Your job The project aims to develop, implement and test a general model of memory that provides insight
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”. Are you excited about the opportunities that data science in nutrition—especially the role of targeted metabolic modelling, machine learning and AI offer in developing effective personalized nutrition
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perovskites — for applications in sustainable energy, spintronics, and quantum technologies. By combining physics-based theory with data-driven models, you will contribute to the next generation of predictive
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to diet. A strong foundation or affinity with statistical modeling, with the ability to translate complex data into actionable insights Are you ready to set the course for the years ahead? Then we’d love
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metastability for dilute spin systems. These are classical models of statistical mechanics with bond disorder, i.e. where deterministic pair interactions are replaced by random variables. The main objective is to
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. Knowledge and experience of physical testing would be an advantage. The sucessful candidate is resposnible to provide insights into this complex soil-structure interaction problem through numerical modelling
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and statistical mechanics. The project is a NWO funded "open competition project" which deals with the study of metastability for dilute spin systems. These are classical models of statistical mechanics
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In this role, you will be responsible of developing cutting-edge deep learning models for real-time image and video analysis (e.g., segmentation, object tracking, reinforcement learning), with
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range of industries face the challenge of managing increasingly complex stochastic systems, where uncertainty is inherent and data is abundant. These systems arise in diverse domains—such as manufacturing