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Field
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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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bounds. Design transmission codes that achieve these theoretical limits, ensuring optimal trade-offs between detection avoidance, sensing accuracy, and communication reliability. Develop advanced
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16th August 2026 Languages English English English The Department of Civil and Environmental Engineering has a vacancy for a PhD in Predictive AI-Based Maintenance and Optimization of Building
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strong organizational, communication, and interpersonal skills. You are able to work independently and accurately, while collaborating effectively in an international and interdisciplinary research
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. The studentship is fully funded for 3 years. The pan-University Graduate School offers an integrated training programme to the postgraduate community within a single centre, serving to inculcate interdisciplinary
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Technology, and the PhD student will be positioned in the Esbjerg Energy section. The position is part of the internally funded research project SURGE: Speed-optimized USVs for Robust Guidance and Offshore
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the RIVM, gaining experience in respiratory toxicology and in designing optimal in vitro experiments. You will also have opportunities to build an (inter)national network, participate in national 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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-driven modeling or systems optimization. Experience 0–3 years of postdoctoral experience (or equivalent research experience) in computational, statistical, or data-driven modelling Proven experience in
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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