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a doctorate. We are looking for: candidates with a Master’s degree in mathematics or a closely related field and with a strong background in probability theory. Prior knowledge in spatial stochastic
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biogeochemistry, environmental sciences or a related field is required. Good methodological (theory) knowledge of analytical approaches for measurements of climate-relevant trace gases is required. Knowledge
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theories and numerical methods, carrying out and analysing field and remote sensing observations and conducting and analysing numerical model simulations. The PhD position is funded by the German Research
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. Possess a solid foundation in economic principles, relevant empirical methods, and microeconomic theory. Demonstrate outstanding English language skills, both written and spoken, to confidently engage in
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density within these films, together with a non-uniform distribution of counterions and specific ion effects but there is no direct evidence supporting this theory. The task of this job is to investigate
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experience with or willingness to quickly familiarize yourself with basic pedagogical and psychological theories Willingness for in-depth familiarization with learning analytics and AI in education Very good