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Programming Intelligent Modelling and Analysis Mixed Reality Lab Lab for Uncertainty in Data and Decision Making Visualisation and Computer Graphics Responsible Digital Futures The studentships available
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? Meso-level modelling (e.g. at the level of river basins or provinces) could find an answer to these questions by bridging global and local perspectives and capturing both fine-scale landscape patterns
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PhD Studentship - EASTBIO - Functional Genomics of Host Determinants in Viral Entry and Transmission
work will include mammalian cell culture, CRISPR-based gene editing, and infection models using pseudotyped and replication competent viruses. The student will learn to perform and interpret high-content
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understanding of the impact of these signals on lymphocyte function in healthy immune responses is currently limited. We have shown using in vitro models with healthy human donor cells that noradrenaline
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of the global supply chain. Most ways to model the stochasticity involve introducing nonlinear terms in the mathematical formulation. It is your goal to investigate how well machine learning methodology can be
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strategies for programming, modeling, and integrating reconfigurable/spatial architectures, such as FPGAs and ML accelerators, within heterogeneous ICT ecosystems. Reconfigurable and Spatial hardware, such as
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. The following 6 PhD projects are available in 2026: Innate immune recognition in the gastrointestinal epithelium – Organoids as host model (Bartfeld lab) Immune–Metabolic Adaptation in Pregnancy: Implications
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group of Peter Swoboda, together with collaborators, is investigating ciliogenesis and cilia function in human neuronal cell lines and in vivo in a genetically tractable animal model, the worm C. elegans
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and sustainable biomanufacturing. However, little is known about non-model gas fermenting microorganisms. The focus of the advertised positions will be on mapping the metabolism of gas fermenting
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primary research aim will be to explore how the geometry of data can help build better uncertainty-quantifying models, particularly for complex data types like molecules and images. However, other research