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Some of the biggest open questions in modern physics concern the limits of the Standard Model and General Relativity. The nature of dark matter and dark energy remains unknown, and many theories
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socio-marine ecosystem models Marine and coastal socio-ecosystems such as Dublin Bay are highly complex systems subject to accelerated climate change. They are characterised by interacting biological
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of response and develop predictive models. The work will involve analysis of large-scale datasets through multiomics integration, machine learning, statistical genetics, QTL analysis and development of genetic
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expected to carry out advanced computational analyses. Our underlying model system is the in vitro differentiation of adipose tissue stem cells into adipocytes. The project is in collaboration with
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different scientific backgrounds. Strong initiative and passion for science. Open to collaborate with students (BSc/MSc), PhDs and postdocs involved in related project and research groups within and outside
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be supervised by Carla Groenland. You will have the opportunity to collaborate with postdocs, PhD candidates, and other faculty members of the research group in Discrete Mathematics and Optimization
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formulate research questions at the intersection of AI, EO and advanced computing Develop and investigate AI methods for multisource EO data, exploring approaches such as geospatial foundation models and
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and after their studies, thus making it easier for them to enter the job market. Following, throughout the postdoc phase, young professionals will receive active support and guidance in planning
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developing representations, using neuroimaging with fMRI and OPM-MEG, and to model the developmental process using computational models from AI. The project aims to better understand infant cognition, develop
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to international scientific conferences and to industry partners (Airbus). Your work will focus on developing integrated computational tools for structural wing design, linking advanced failure models, uncertainty