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, and high-tech companies covering the full energy value chain. Your main focus will be on modeling systems essential for the design and optimization of hydrogen production processes. Accurate
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involve collaboration in the nationwide Immunostart-kids network and is embedded within the Maastricht-Nijmegen Translational Research Alliance for Innovative Vaccine Research, ensuring valuable
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describing the electron optics of the projection column and optimize its performance through large-scale simulations. You will use commercial electron-optical simulation software but also develop custom Python
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. position is part of the Future Network Services (FNS) Project. The energy transition is transforming the way distribution systems at the low-voltage (LV) level are operated. Expectations
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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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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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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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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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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