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preparation, development and verification of models and generalization of solutions. Your background For this position, you are required to have a PhD in electronics, metrology, computer engineering or a
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carbon cycling, with a focus on boreal forest ecosystems Experience with data processing software for eddy-covariance data (EddyPro, REddyProc) Excellent numeric and analytical problem-solving skills
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background knowledge and working experience in greenhouse gas budgeting and carbon cycling, with a focus on boreal forest ecosystems Experience with data processing software for eddy-covariance data (EddyPro
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pure theory and experimental verifications. You will need to represent the group in different contexts, both in Sweden and abroad and hence have excellent skills in English. Further information
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. Is proficient in modern statistical modelling, AI & machine learning methods (e.g. system identification, regression models, Bayesian methods, deep learning). Is an experienced programmer in R and/or