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PHD DEVELOPMENT AND EXPERIMENTAL VALIDATION OF UNDERGROUND SAND-BASED THERMAL ENERGY STORAGE SYSTEMS
conditions. You will use experimental results to validate models and create a digital twin for real-time operational optimisation. Based on your findings, you will establish a design and optimisation framework
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Learning for Foundation Models’, where the aim is to adapt these models to new tasks without forgetting previous knowledge. The precise focus of the project can be defined in collaboration with
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-on experimentation with advanced digital fabrication, numerical modelling, material testing, and process optimization. You will work on the fabrication and mechanical characterization of composite specimens with
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data-driven methods (optimisation, generative AI, agent-based modelling, machine learning). Our work provides decision support for policy makers, industry stakeholders, and researchers by delivering
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Motivated Language Model Detection”) and an NNF: Ascending Data Science Investigator project (“LM2-SEC: Linguistically Motivated Language Model Security”). Your work tasks As a PhD student, you will conduct
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to biogeographical understanding of polar terrestrial ecosystems. Lichens constitute the dominant form of vegetation across ice-free Antarctic areas, where harsh environmental conditions limit the presence of vascular
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to unravel the complexity of chemical communication that occurs in nature. PhD Project: Decoding symbiont establishment through systems modeling and multi-omics integration Supervisors: Dr. Mariana Galvão
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, among the published relevant studies there are large inconsistencies in the testing methods and conditions; thus, it is difficult to draw reliable conclusions about the thermomechanical behaviour
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, etc.), and data-driven methods (optimisation, generative AI, agent-based modelling, machine learning). Our work provides decision support for policy makers, industry stakeholders, and researchers by
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difference and/or finite element coupled process models validated against laboratory data to understand the fundamental behaviour of EK-ISL under varying geological conditions, including heterogeneity, dual