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and research possible. PhD Opportunity: Engineering a Next Generation of Miniaturized In Vitro Models Our goal: Develop the next generation of miniaturized in vitro models to advance regenerative
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the second direction, you will explore the geometric design of nonlinear systems. Using nonlinear reduced order modelling (ROM) integrated with optimization algorithms, you will design structures
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computational facilities. The powerful computational facilities enable us to develop advanced numerical models. The Department of Engineering Structures focuses on the development of resilient, smart and
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for pavement lifetime prediction, primarily in Dutch conditions. Foreseen challenges include data harmonization, key relationship extraction, scalability, metadata structuring, predictive modeling, and data
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and self-motivated PhD candidate to contribute to our understanding of advances, gaps and opportunities for impact-based forecasting for vulnerable population groups across Africa. You will work at the
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the next generation of miniaturized in vitro models to advance regenerative medicine. Your colleagues: A highly interdisciplinary team at MERLN, working within the national MDR consortium. The project Since
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on the development of new antenna and integrated circuit concepts for radar and electromagnetic modelling. The Electromagnetics (EM) and Integrated Circuit (IC) groups are involved as well as the Center for Wireless
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ecology; experience with programming and simulation is an advantage. Excellent analytical and critical thinking skills, with the ability to relate model structure to outcomes and interpret them in
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to relate model structure to outcomes and interpret them in biologically meaningful ways. A collaborative, curious, and creative mindset. Fluency in English (written and spoken; minimally language level C1
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: Multiscale modelling to better understand RFB behavior and identify optimal hierarchical shaped pore- and electrode-structure to encounter optimum electrolyte as well as electrical flow. Prototyping