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, and developing correction schemes to enhance luminosity, beam lifetime, and dynamic aperture—critical figures of merit for collider optimization. Initial work will include analyzing current FCC-ee
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particular the development of generative AI technologies such as diffusion models, flow matching, generative transformers, or related architectures. The position is highly methodological and focuses
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quantifies their future changes.The group has strong expertise in water resources, extreme value analyses, statistical modelling, and climate impact assessments and is looking, from spring 2027, for a Postdoc
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, molecular biology, or a related discipline a strong conceptual and experimental background in immunology substantial hands-on experience with in vivo mouse models extensive experience with flow cytometry and
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improve high-throughput experimental workflows including closed-loop thin-film optimization Apply AI and Machine Learning for data analysis and modelling Develop, improve and implement HW/SW concepts and
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experimental workflows including closed-loop thin-film optimization Apply AI and Machine Learning for data analysis and modelling Develop, improve and implement HW/SW concepts and components to automate
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Your position We combine mouse tumour models, immunology, molecular biology, flow cytometry, imaging and single-cell approaches to investigate how neurons, immune cells and stromal cells communicate
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communities as a model system. Main duties and responsibilities Anaerobic digestion communities are among the best-characterized and most ecologically important microbial ecosystems. Composed of diverse
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and how neuro-immune communication contributes to inflammatory or tumour-associated disease states. Approaches include neuronal tracing, in vivo disease models, genetic and viral manipulation
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to answer: How temporal and structural sparsity can be incorporated into the 3D dynamics reconstruction model? How sparse can a measurement be and still capture a high-resolution dynamic event? How do