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Field
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insights. Second, starting from large-scale transnational infrastructures that connect peripheries to various centres reveals the complexity of political-economic integration and dependencies better than
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staff position within a Research Infrastructure? No Offer Description Title: “Synthetic Dataset Generation Technique to Optimize Neural Network Training for Seismic Data Prediction” Research Area
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fluid dynamics and brain waste clearance integrate electrophysiological sleep measures with neuroimaging and computational modelling design and oversee complex multimodal human research studies and sleep
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connections to the LEAD Graduate School & Research Network, the Tübingen School of Education, the Tübingen AI Center, and external partners such as the ELLIS Institute Tübingen and the Leibniz‑Institut für
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computational approaches to chart and understand the gene regulatory networks that are active in blood cells in health and disease. The successful candidates will have a PhD in Bioinformatics, Computational
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embedded in the Doctoral Programme in Complex Systems Science at the University of Luxembourg. The modelling approaches developed in this project share conceptual similarities with adaptive network and
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the study of the development of singularities, the long-time behavior of complex systems, the formation of spatial patterns, the transition between stability and instability, and the first steps of transition
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low-carbon and green technologies, and to provide evidence to guide future transport and energy planning. This position offers the chance to make a real contribution to the UK’s goal of achieving net
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working with complex sample matrices (e.g. environmental waters, agricultural runoff, wastewater). Strong data handling and statistical analysis capability. Publication record commensurate with stage
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technologies, and to provide evidence to guide future transport and energy planning. This position offers the chance to make a real contribution to the UK’s goal of achieving net-zero emissions by 2050. About