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University and the Royal Netherlands Institute for Sea Research, you will create ecosystem-specific, mass-produceable structures that are ready for large-scale ecosystem restoration. Your job The PhD candidate
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‘Bioprime: applying biomimicry to produce restoration designs for multiple ecosystems’ at Utrecht University and the Royal Netherlands Institute for Sea Research, you will create ecosystem-specific, mass
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sophisticated condition assessment and decision-making capabilities. This PhD project tackles a critical challenge: how to develop robust machine learning models that can accurately predict component health and
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this project, you will combine a deep knowledge of physical chemistry with robotic systems and AI models. You will learn how to programme advanced robotic systems and how to implement aspects of deep learning
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labs to measure more complex properties such as foaming, phase separation or particle formation, and fine-tune our AI models. In this project, you will combine a deep knowledge of physical chemistry with
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are looking for an outstanding and enthusiastic PhD candidate who has expertise and/or interest in modelling and design of electrical machines and drives, with an MSc degree related to this areas: electrical
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Systems under the supervision and guidance of Henk Polinder. Job requirements We are looking for an outstanding and enthusiastic PhD candidate who has expertise and/or interest in modelling and design of
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to produce restoration designs for multiple ecosystems’ at Utrecht University and the Royal Netherlands Institute for Sea Research, you will create ecosystem-specific, mass-produceable structures
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challenges (such as raw material constraints, hydrogen availability, and infrastructure deployment challenges), and analyze deep uncertainties. The research will guide sustainable transition strategies
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challenges (such as raw material constraints, hydrogen availability, and infrastructure deployment challenges), and analyze deep uncertainties. The research will guide sustainable transition strategies