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prioritise RD as a mechanism for ecosystem resilience. The project will use Agent-Based Policy Modelling (ABPM) to simulate how actors such as land managers, farmers, local authorities, and conservation
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translational model based on patient-derived tumour organoids that reproduce the realistic microanatomy of the tumour. These organoids will be used for translational testing of nanotherapeutic activity
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of AI models for the design and optimisation of integrated energy systems in public buildings. They will analyse heterogeneous datasets, create realistic what-if scenario analyses, and develop trustworthy
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disturbance experiments at Trinity College Dublin and on modelling resilience and RD at University of Zürich are planned. Research Project DC3 DC3 will use empirical plankton ecology to analyze both
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://meeresearch.weebly.com/ Further information on the other projects within the consortium can be found on Euraxess. Selection criteria Applicants must not already hold a doctoral degree at the date of recruitment
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for assessing biocompatibility, cytotoxicity, penetration and accumulation of nanomaterials in cells and 3D models. LanguagesENGLISHLevelGood Research FieldOther Internal Application form(s) needed euraxess
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the area of Computer Science, sub-areas of Artificial Intelligence, Serious Games and Medical Image Processing. The work to be carried out is related to: Design, development and validation of AI models
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on: World economy Macroeconomics Economic modelling and analyses Macro-financial analysis Our in-house research capacity and international network activities allow our researchers to participate in
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model innovation in incumbent industries. This doctoral project examines the strategic importance of artificial intelligence (AI) as a general‑purpose technology capable of transforming asset‑intensive