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organisms and determine the environmental factors controlling their activity under future conditions. Ultimately, the project will improve our understanding of anaerobic microbial food webs in Antarctic
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Alfred-Wegener-Institut Helmholtz-Zentrum für Polar- und Meeresforschung | Bremerhaven, Bremen | Germany | about 1 month ago
Arctic Biodiversity (f/x/d/m) Background Long-term monitoring of marine and Arctic ecosystems generates large volumes of biological and environmental data, but current analysis methods only partly capture
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with mature trees growing at whole-ecosystem manipulation experiments, you will manipulate drought and carbohydrate supply to tease apart their roles in controlling cambial activity, cell enlargement
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: The position is limited to 32 months. The period of employment is governed by the Fixed Term Research Contracts Act (Wissenschaftszeitvertragsgesetz – WissZeitVG). Supervisory team: Supervisor: Prof. Dr. Martin
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of Pharmacology focuses on deciphering the molecular mechanisms that control intercellular communication, inflammation and regeneration in epithelial tissues (https://www.uni-marburg.de/de/fb20/bereiche/bpc
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(see references below), we want to open a new route to synthetic cells and to their spatial organization: high-resolution 3D printing to enable placement with µm precision into controlled landscapes and
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Synthetic Cells as Minimalistic Life Forms," Nature Reviews Chemistry 8, 454 (2024). R. Merindol, A. Walther, "Materials Learning from Life: Concepts for Active, Adaptive and Autonomous Molecular Systems
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-induced changes in community composition, biomass, and elemental stoichiometry. Communities will then be split into two sub-experiments: E2a isolates 5–10 species (control and +6°C) to determine thermal
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them or augment their behavior in a controlled way. Specifically, your tasks will be: Running numerical simulations of active systems Using physics-informed machine learning techniques to characterize
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, verification and control of LLM-based agents AI for materials discovery – generative models, active learning and autonomous discovery of novel materials We welcome applications from candidates whose interests