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Field
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mangament in numerical models, including advanced calibration strategies from data (observations, measurements, other model predictions) and uncertainty reduction. Scientific context Many engineering and
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cartilage tissue engineering? Are you driven to develop novel in silico frameworks that deepen mechanistic understanding of tissue growth and inform in vitro experiments? Then you might be our next PhD
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In this project, the selected candidate will join us in conducting research in statistical learning, developing data-driven methods to learn models of large-scale signals and systems from data
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systems. By combining microclimate modelling, remote sensing data, and data-driven methods, the results are integrated into a Digital Twin framework. The research will support predictive risk assessment and
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dynamics subproject, which develops hybrid and data-driven approaches with a strong focus on improving the representation and generalization of ML models for the dynamics of Ecosystem-Atmosphere Carbon and
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harmonisation, and next generation research infrastructures. You will contribute to research projects enabling secure, interoperable, and scalable AI-driven use of clinical data for complex diseases such as
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presentations, mentor BSc and MSc students, and contribute to teaching activities and academic outreach. Your qualities We are looking for a curious, driven, and creative new colleague. For the technical skills
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3 Apr 2026 Job Information Organisation/Company Utrecht University Research Field Computer science » Cybernetics Computer science » Programming Engineering » Computer engineering Engineering
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will focus on understanding, modelling, and controlling these topologically-protected spin waves, addressing both fundamental questions and potential applications. Your job This project consists of a
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HBIGS Heidelberg Biosciences International Graduate School | Heidelberg, Baden W rttemberg | Germany | 21 days ago
to investigate Wnt signaling in different model systems, including Drosophila, Hydra and cultured cells. Technology development will be in the areas of precise and efficient gene tagging, pooled in vitro and in