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quantitative image analysis, numerical modeling, and explainable AI (XAI) with state-of-the-art biophysical methods. Using techniques such as traction force microscopy, microfluidics, 3D bioprinting, and
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! Overall, research in the Group of Prof. Dr. Meyer zu Hörste at the Department of Neurology combines basic models and patient-derived specimen with cutting-edge technologies. One of our recent projects has
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highlight the potential of microbiome intervention in immuno-oncology. In our team, we actively integrate translational data, functional assays and preclinical models, to understand and overcome mechanisms
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EU MSCA doctoral (PhD) position in Materials Engineering with focus on computational optimization of
produced by PBF-LB. After identification of the most relevant parameters adopting a design of experiments strategy, a probabilistic (e.g. Gaussian Process Regression) model to describe the relationship
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systems and in vivo models in combination with cell state and mutation reporters and single-cell technologies with spatial readouts to study the impact of intestinal microbes and their metabolites on colon
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assessment of chemical plants using HAZOP analysis Use of process modeling and simulation to enhance quantitative assessments Use of machine learning to support HAZOP discussions with the aim of obtaining a
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calcifications present in the retina. The core project of the doctoral candidate will involve testing various forms of application in animal models. We have numerous state-of-the-art technologies at our disposal
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infection biology, immunology, parasitology and medical biotechnology The following 6 PhD projects are available in 2026: Innate immune recognition in the gastrointestinal epithelium – Organoids as host model
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, making exciting new strides into uncharted territories, we investigate how cell differentiation, pre-existing immune conditions, superinfections, aging, etc. affect the infection outcome using model
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resolution across large genomic datasets. We focus on cancer models (osteosarcoma, breast cancer, leukemia) and on neural progenitor cells to understand how genome instability contributes to tumor initiation