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innovative formulation strategies for lipid-based drug delivery nanoparticles, with a particular focus on the design and optimization of externally triggerable lipid nanomedicines. Combining molecular modeling
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developments, you will work closely with the other PhD, postdocs, engineers in the lab, and other collaborators from TUM and ETH, to establish a digital twin for construction, and optimize CAML hardware
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confidence in the measurements and establish traceable validation routes. Optimize the methods for realistic converter operating conditions and communicate practical guidance to academic and industrial users
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such personalization may improve donor health and optimize blood and plasma collection, it also raises important ethical, legal and societal questions: Which personal data may ethically be used in donor management? How
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systematic optimization strategies to maximize yields of desired products. A key aspect of the project is understanding and improving catalyst stability, including identifying deactivation mechanisms and
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factors, and travel speed, while also studying resonance behaviour and determining the optimal excitation frequencies for maximizing signal-to-noise ratios. Write a doctoral dissertation, publish results in
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to maintain the tunnel stable. At depths of several hundred metres, validated design guidelines for this combination of challenges do not yet exist, which limits optimal decision-making. This PhD
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strengthened by the many young researchers working on innovative projects with as doctoral candidates and post-docs. It has been accommodated in three multidisciplinary UT research institutes: Mesa+ Institute
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the opportunity to perform experiments in Maastricht and at the RIVM, gaining experience in respiratory toxicology and in designing optimal in vitro experiments. You will also have opportunities to build an (inter
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Computational Fluid Dynamics (CFD) has become indispensable for aerospace design, many important problems—including high-fidelity flow simulations, uncertainty quantification, and multidisciplinary optimization