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up to 2050. Quantifying the environmental impacts of primary and secondary steel production under different future scenarios, including climate change, energy and resource use, water consumption, waste
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energy/water balance, evapotranspiration, thermal comfort, heat-health interactions. Solid programming and data analysis skills (e.g. Python, R, GIS). Willingness to travel for validation-related fieldwork
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deployment scenarios to evaluate future steel production pathways and circular economy strategies up to 2050. Quantifying the environmental impacts of primary and secondary steel production under different
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modelling is an advantage. Strong quantitative skills and interest in statistical modelling, or simulation approaches. Experience with R, STATA, Python or similar software. Ability to work independently and
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computational biology and not afraid of challenges. When the data or model outputs do not make any sense, you dig deeper! You communicate openly and thrive in a collaborative environment across different
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bleeding disorder diagnoses can experience remarkably different clinical outcomes. HemoTwin-BD aims to move bleeding disorder diagnostics beyond traditional disease classifications towards precision
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, Tristan-Gough). Topic 3 will be addressed by geochemical and geodynamic modelling. The 3 PhDs will work on all three topics by using different techniques. The analytical work will be performed in the NIGEL