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with anticipating the consequences of adopting nature-inclusive transitions for business and for nature. In that role, you will develop and explore the potential of farm typologies to deal with
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through social science research, teaching and public dialogue – often in collaboration with partners from technical fields. The TUM STS community strives to provide new intellectual and practical resources
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accessibility and flexibility across thousands of proteins under native conditions. These experimental data will be used to guide, train, and benchmark machine-learning models that predict protein conformational
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immunology. The Meyer lab studies how the organization of the thymus and the cells therein provide an effective education system for T cells through genomics and mathematical modeling. For more information on
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willing to acquire this. You have a good knowledge of cell biology, molecular oncology, signal transduction, and immunology. You have experience with or an interest in 3D-cell culture models, patient
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tissues. The scientific core of the project is to engineer chemical communication by pH waves to reach sustained oscillations and collective behavior across synthetic cell consortia. Your tasks are roughly
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. You will: Develop next-generation hybrid traffic flow models that combine traffic theory with machine learning Investigate Physics-Informed Neural Networks (PINNs) and related approaches for network
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to developing fungal cell factories for the production of enzymes and metabolites. Your PhD project will focus on AI-driven synthetic biology to develop novel enzymes with improved properties. The first part of
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to developing fungal cell factories for the production of enzymes and metabolites. Your PhD project will focus on the identification and manipulation of fungal metabolic pathways that result in the production
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research, development and implementation studies, develop prototype tools and other devices, as well as provide research and technological services. The recipients of our solutions are, among others