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are characterized by different biological source mechanisms than marine systems. The project will improve our understanding of the interactions between the biosphere and the atmosphere. In the long term, it
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an objective and consistent method of measurement. The implication of this is a mechanism through which customer and supplier can agree on model quality. Furthermore, the outcome will inform the development
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therefore a continued knowledge gap - whether bone and muscle sarcoma metastases evolve through linear Darwinian evolution, parallel progression, reversible/plastic mechanisms and/or whether a metastatic
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reproductive isolation. This will largely advance our still limited knowledge on the intricate mechanisms of CHC perception in particular and on speciation mechanisms mediated by chemosensory evolution in
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. The institute provides a collaborative, resource-rich environment with cutting-edge laboratories and facilities to support transformative research across mechanical, materials and robotics engineering
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, statistical mechanics and/or probabilistic machine learning. You should be willing to take an ambitious and unconventional approach to hard problems and be motivated by a desire for both deep understanding and
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AI-Driven Digital Twin for Predictive Maintenance in Aerospace – In Partnership with Rolls-Royce PhD
and reasoning techniques to support predictive maintenance and asset health monitoring •Design feedback mechanisms that deliver interpretable insights (e.g. alerts, recommendations, confidence scores
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/Computer/Mechanical/Materials/Nuclear Engineering or related discipline. • Excellent foundation in materials processing • Hands-on experience with device and system characterization. • Experience in
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AI-Driven Digital Twin for Predictive Maintenance in Aerospace - In Partnership with Rolls-Royce PhD
knowledge graphs for predictive insights. Design feedback mechanisms to deliver interpretable outputs such as alerts, recommendations, and confidence scores. Validate system robustness using real-world
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Job Description A 3-year fully funded PhD stipend for studying the gene-regulatory mechanisms that control cancer biology at single-cell resolution is available in the group of Associate Professor