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combine ultrafast pump–push–probe experiments with sub-10 fs resolution, finite-element simulations, and quantum models extending the Tavis–Cummings Hamiltonian. The aim is to demonstrate coherent control
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modeling. The knowledge generated in the project will form the basis for new methods and tools to better analyze household energy behaviors. Particular focus is placed on identifying barriers and variations
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Familiarity with spatial analysis, GIS, or geospatial data workflows. Experience with machine learning, modelling, or systems analysis approaches Interest in resilience, sustainability, and environmental
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Arabidopsis thaliana or a comparable model plant system. Very good written and oral English language skills. Meriting qualifications The following qualifications are not required at the point of appointment
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or heterogeneous environmental datasets Familiarity with spatial analysis, GIS, or geospatial data workflows. Experience with machine learning, modelling, or systems analysis approaches Interest in resilience
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knowledge-based models and practical guidance that strengthen audit firms’ capabilities in delivering sustainability assurance, support the work of regulatory authorities, and enhance trust in sustainability