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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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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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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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, state-of-the-art modelling of microscopic wear of silicon during wafer handling? We are looking for an outstanding and enthusiastic PhD candidate, with a strong computational mechanics profile
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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
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applied statistical models, and will be part of a growing conservation technology hub at the department. The Department of Wildlife, Fish, and Environmental Studies offers a creative, stimulating, and
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deadline: 18 January 2026 Apply now Do you want to help develop immunotherapies for autoimmune diseases without using animal models? Are you excited about advanced 3D culture systems and human-based