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engineered animal models and state-of-the-art technologies, we investigate the mechanisms by which inflammasome hyperactivation drives autoinflammatory diseases and inflammatory bowel disease. We also study
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to two PhD students in Statistics for the research project “Next-Generation Latent Variable Models for Social Data Science”. Application deadline: November 4, 2026. We are seeking one to two PhD students
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Can AI learn to reason like a human - and recognise when it isn’t sure? This PhD tackles that challenge in a high-impact setting: interpreting 3D digital models of rock formations built from drone
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can upload participants' written memory responses and receive automated scores in return, without writing any code. The platform is designed to host a range of scoring models (both the models we develop
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on clinical complications, and use machine learning to develop and validate predictive models to identify high-risk patients. The research aims to individualise inpatient care, reduce hospital-acquired
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of Klebsiella, a clinically important pathogen. Combining eco-evolutionary theory, lab experiments, and genomic sequencing, you will help build and validate a model predicting how antibiotic selection shifts with
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brain circuits, but the role of protein synthesis in this key developmental process is still poorly understood. Using zebrafish and mouse models, this project will compare ribosomes in progenitors and
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white matter. The network aims to strengthen the full translational pathway, from understanding disease mechanisms and developing disease models to preclinical therapy testing, clinical readiness and
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recognized as one of the leading international experts in theoretical and numerical ocean modelling. Florian Lemarié is an expert in the application of mathematics to ocean modelling. The PhD project will also
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Max Planck Institute for Heart and Lung Research, Bad Nauheim | Bad Nauheim, Hessen | Germany | 16 days ago
diseases. Our group investigates how cells sense stress, mount adaptive responses, and restore homeostasis to maintain cellular resilience. We combine human cellular models with transcriptomic and proteomic