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embedding of methodological guardrails (technology scale-up rates, carbon dioxide removal, CO2 storage, justice) into scenario parameterization and design across the modelling teams Contribute
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at national and continental scale. Candidates with strong literacy in spatial multi-criteria optimization methods, reinforcement learning, or other state-of-the-art spatial planning approaches are of particular
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or environmental sciences, sustainability, or a related field Essential skills and competencies: Strong organisational skills and attention to detail; experience coordinating meetings, workshops or multi-partner
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