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models of IRDs. By exploring different transplantation strategies in different animal models of IRDs, the student will assess and optimize the transplantation strategy to pursue as well as establish
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criteria when selecting used garments for remanufacturing processes by using multi-criteria decision analysis. Develop a knowledge-based intelligent system for garment modularization that can facilitate
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and the duties of the doctoral student The project will focus on understanding the immune response in the central nervous system (CNS) viral infection tick-borne encephalitis (TBE), to optimize TBE
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to optimize resource use and minimising climate impact. The project will also explore the potential of integration of these systems in urban environments, contributing to sustainable city infrastructure and
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achieving an optimal fuel-air mixture within the cylinder. This project will utilize engine experiments and advanced optical diagnostics to investigate how engine geometry and fuel injection systems influence
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Carriers PhD position in Nano-structured Sensors for Health Monitoring PhD position in Large-scale Design of Superconducting Quantum Computers PhD position in Optimal Control of a Superconducting Quantum
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to analyze organ architecture and pioneering technologies to manipulate gene expression and embryonic development in mice. Our goal is to advance our understanding of fundamental developmental processes while
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carbon dioxide concentrations. Elevated levels of carbon dioxide increase carbon exudation from plant roots, but the impact of this process on nitrogen availability and consequently plant growth remains
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to the affected service layer, resulting in suboptimal remediation. This project introduces a bottom-up approach to network security, integrating physical-layer perspectives into the design and optimization