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insights in the molecular biology of cells. To achieve this, the project will use state-of-the-art cell biological approaches. Recent examples of our work include: Klose et al., Nat Comm, 2025; Zanotti et al
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thin films for emerging technologies. By combining state of the art physical vapor deposition, high throughput experimentation and data science, we develop thin films with enhanced performance and
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professional performance. Data Protection Information: When you apply for a position with the Technical University of Munich (TUM), you are submitting personal information. With regard to personal information
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-of-the-art in multi-agentic AI, and how to interact with external models and tools. Design, develop, and evaluate multi-agentic AI model architectures to gain and improve our insights in agriculture from
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promising sustainable alternatives to conventional epoxy systems. Their excellent thermal stability and favourable fire, smoke and toxicity performance make them strong candidates for safety‑critical
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kinetics and atomic diffusion leading to better mixing of U, Pu and neutron absorbers within the pellet which may result in improved performance as a wasteform. Thus, to inform DMOx manufacturing processes
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feedstock characteristics influence milling performance and pellet quality. Perform comprehensive rheology and materials characterisation to assess the viability of acoustic milling for mixed oxide
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Chemistry (LCC, http://www.lcc-toulouse.fr/ ), one of the leading French chemistry institutes. We have at our disposal state-of-the-art technical and analytical platforms for the support of the project (e.g
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Department: Department of Archaeology and Museology – Faculty of Arts Deadline: 10 May 2026 Start date: 1. 6. 2026 Job type: full-time Job field: Science and research Dean of the Faculty of Arts
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for: Analysis of phenotypic, microscopic, PET/MRI, MALDI-MSI, and LC-MS/MS data Development of AI-based models for personalized risk assessment Validation and application of model performance using established