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Field
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2 PhD Positions in Computational Modelling of Biological Membranes and Adaptive Functional Materials
cellular observations. Where appropriate, modern structure prediction tools may support the construction of realistic simulation models. The project is ideally suited for candidates interested in molecular
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. Equilibrating such films by brute-force molecular dynamics is prohibitively slow. Instead, we build them using diffusion models at coarse-grained resolution, formulated so that the model yields not only realistic
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on the supervisory groups emerging molecular insights into EIPH, the project will explore microvasulaturedysfunction in the initiation and progression of disease, with the ultimate goal of identifying novel
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cohort of patients with MASLD. Investigate MNP toxicity, accumulation and clearance using patient-derived organoid models. Develop and validate the first tissue-based biological reference materials for MNP
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research program investigating the molecular and developmental mechanisms underlying testicular dysfunction and infertility in a Wnt4 conditional knockout (Wnt4-cKO) mouse model. This position offers
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standard simulation methods. This PhD topic falls within the area of computational materials science and will involve the use of established methods such as density functional theory and molecular dynamics
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imaging, metabolomics/lipidomics, extracellular-vesicle-associated molecular profiles, experimental GBM models and patient-level information. The project will also explore how tissue-level metabolic
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molecular biology to establish quantitative structure–function relationships in relevant in vitro models, including 3D tissues. Your tasks As a PhD candidate, you will: Combine colloidal self-assembly and
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combination of biochemical and molecular approaches in cultured cells, xenograft models, and genetically engineered mice. The ideal candidate should have valid authorization to work in the United States and a
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design rules to understand their chemistry and physics. You will combine coarse-grained and atomistic simulations with surrogate models and experimental insights (with Dr. Baumgartner) to understand