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to: 1. Simulate climate impacts on agro-environmental systems using a state-of-the-art biophysical process model 2.Assess adaptation opportunities for land-users under changing climate conditions 3.Assess
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susceptible steel structures. Thus, the candidate will develop reliable machine learning-based surrogate models to replace expensive phase field models to simulate failure because of HE. The activities will be
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PhD position - Stress-testing future climate-resilient city and neighbourhood concepts (Test4Stress)
, the results of Test4Stress contribute to identify enablers and barriers for transformation towards a climate resilient city and neighbourhood. The successful PhD candidate will analyse climate simulations and
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