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Field
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to make a difference. Do you want to be involved and contribute to our development? Together, we can create a sustainable future through knowledge and innovation. We believe that knowledge and new
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resilience and its change over time in the past (based on Earth observation data), present and future (based on Earth system model simulations for different future scenarios, e.g. using the CMIP6 ensemble and
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Postdoctoral Associate with experience in quantitative modeling of the atmosphere and/or climate system or in the economic valuation of the climate or clean air impacts of different scenarios from such models
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, causing over 17 million deaths per year, with a disproportionally negative impact on racial/ethnic groups that are historically underrepresented in the US healthcare system? Apply now to make a difference
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resilience and its change over time in the past (based on Earth observation data), present and future (based on Earth system model simulations for different future scenarios, e.g. using the CMIP6 ensemble and
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making a difference to people's lives. We believe that inspiring our people to do outstanding things at Durham enables Durham people to do outstanding things in the world. Being a part of Durham is about
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) assess future changes in these patterns under different global warming scenarios. Requirements: The successful applicant should hold a MSc or PhD degree in physics, mathematics/statistics, climate science
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different numerical tools via Python scripting Experience conducting machine learning and inverse design models HPC experience Experience training and supervising students High proficiency in writing skills
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development. Experience with implementing statistical learning or machine learning (e.g. Bayesian inference, deep-learning). Programming skills in Python and experience with frameworks like PyTorch, Keras, Pyro
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Postdoc in assessing carbon sequestration potential of different wetlands as nature-based solutio...
The Department of Agroecology at Aarhus University, Denmark, is offering a postdoctoral position in assessing carbon sequestration potential of wetlands as nature-based solutions under different