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and Technische Universität Berlin. The IMPRS-IDI is a vibrant international doctoral program with about 75 doctoral students from more than 25 different countries. Our mission is to support students
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computable general equilibrium modeling, led by five team members. The first three pillars concern the development of computational agent-based models to explore three different channels of risk propagation
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Description Develop models to trace global material and financial flows, uncover bottlenecks, and assess how resource and investment constraints shape pathways to a feasible clean energy transition. Job
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) develop novel performance metrics combining accuracy and explainability, to be tested across different AI model types; (2) devise new algorithms for selecting models optimised for holistic performance
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to agent-based and computable general equilibrium modeling, led by five team members. The first three pillars concern the development of computational agent-based models to explore three different channels
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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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Develop models to trace global material and financial flows, uncover bottlenecks, and assess how resource and investment constraints shape pathways to a feasible clean energy transition. Job
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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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/ML) models can offer a solution here. This project aims to determine to what extent AI/ML models based on electrochemical sensor data are able to identify and quantify local forms of corrosion. We
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– Organoids as host model (Bartfeld lab) Immune–Metabolic Adaptation in Pregnancy: Implications for Offspring Health (Diefenbach lab) Variant Surface Antigen Expression in chronic Plasmodium falciparumcarriage