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backgrounds, you will push the boundaries of sustainable polymer chemistry and contribute to research with clear societal relevance. Ideal start date: October 01, 2026 Where to apply Website https
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PhD Position Simulating the Airspace of the Future: Fleet & Network Optimization for Future Aircraft
models will form part of a larger simulation enviroment that evaluates the airspace of the future. The research should consider: Model development: + Characterizing the key performance differences between
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towards addressing the main challenges in the field by working on experiments involving integrated photonics and color center qubits. You will focus on device design and characterization, delving
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characterization, monitoring, modeling and management of the freshwater cycle and substance transport in Danish and international contexts. Within current issues, the department contributes with research, advice and
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. Using controlled in vitro exposure experiments combined with high-resolution analytical techniques (HPLC, ICP-MS, Seahorse XF), the PhD student will characterize MN kinetics, dose-response relationships
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profiles and characterize selected RNAs. Finally, we will validate specific observations in patients’ samples and propose novel therapeutic strategies based on identified hallmarks. We offer the following
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Funded PhD studentship in AI-assisted materials discovery at the UK National Epitaxy Facility School of Electrical and Electronic Engineering PhD Research Project Competition Funded UK Students
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quantum materials. The group is within the Functional Materials and Materials Chemistry Research Group (FACET – http://www.ntnu.edu/ima/research/facet ). Your immediate leader will be the Head of
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current phase, NSMD focuses on developing and testing network-informed treatment for individuals with mental health problems. This is done in many single-case experimental designs (SCEDs). The program aims
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characterize new alloys and composites fabricated via laser powder bed fusion additive manufacturing. This work is closely woven into materials science, additive manufacturing, and machine learning realm, with