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Your Job: Working with a broad range of imaging modalities (e.g. structural, diffusion-weighted and functional MRI, intracranial EEG) Multi-scale modelling of human brain development Using machine
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University. The main task of the Cluster is to take 3D Additive Manufacturing to the next level by breaking current barriers of scale, precision and speed. The Cluster aims to advance 3D Additive Manufacturing
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, transcriptomic, and proteomic approaches. In parallel, engineered Aspergillus niger strains will be developed for the sustainable production of selected pigments as dyes, which will be further scaled up
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of electron microscopy approaches for the characterization of complex hybrid materials at the atomic scale. As a member of the project team, you will contribute to establishing and applying low-electron-dose
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using MRI scans. DC1 will extend this framework to regional normative models using Bayesian regression and Generalized Additive Model for Location, Scale and Shape (GAMLSS) to derive age- and region
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-weighted and functional MRI, intracranial EEG) Multi-scale modelling of human brain development Using machine learning frameworks to interrogate the relationship between brain development and cognitive
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algorithms for large-scale or distributed training/Robustness, fairness, and personalization in multi-agent learning/Training efficiency and communication reduction/Distributed training of transformer models
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-text notes, lab results, and medical imaging, the PhD researcher will create multi-modal models that reflect the full richness of real clinical workflows. Using multi-hospital datasets, including both
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the potential of these concepts. Once a promising concept has been identified, the DC shall try to build (sub-scale) and test models and prototypes that allow an eventual characterization and to validate at least
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the potential of these concepts. Once a promising concept has been identified, the DC shall try to build (sub-scale) and test models and prototypes that allow an eventual characterization and to validate at least