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be developed and implemented in the GEOS-Chem chemical transport model, coupled to the Community Earth System Model. Standardized large wildfire events will be simulated based on historical data and
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description You will be contributing to developing and implementing novel algorithms at the intersection of computational physics and machine learning for the data-driven discovery of physical models. You will
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opportunities to thrive, achieve and develop. We view equality and diversity as assets, and we welcome all applicants.
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is primarily research-based but may also involve teaching activities. You will be expected to contribute to the development of the department through research of high international quality. In your
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University’s ambition is to be an attractive and inspiring workplace for all and to foster a culture in which each individual has opportunities to thrive, achieve and develop. We view equality and diversity as