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Field
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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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advanced AI/ML methods for robust analysis and integration. Data sparsity, batch effects, and missing values across different omics layers and platforms. Cross-omics data fusion and representation learning
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optimize and ex-ante evaluate different components of an architecture for improving global public good provision that is sketched here . The architecture consists of two components, tax clubs and reward
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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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practices in different research communities; Teach lessons and workshops such as data processing and analysis using R or Python, tools and best practices for data management, computational best practices
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AgriLife and make a difference in the world! Position Information: The successful candidate will contribute to developing and evaluating terrestrial and aquatic nitrogen dynamics and emission modeling, with
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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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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
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, experimental, or computational techniques. Experience in applying for research funding. Skilled in analyzing and interpreting data (e.g., using MATLAB, R, Python). Ability to write papers and reports for peer
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the MET office, the candidate will use outputs from the JULES land surface model to run model experiments that test NBS adaptation potential under different climate change scenarios. For example