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with methods for causal inference Familiarity with administrative register data or other types of big data Familiarity with Stata, R, or other relevant computing languages Personal skills A collaborative
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: Prior experience with analysis of observational remote sensing data sets and/or numerical model output related to cloud properties is desirable. Strong computational skills, and ideally experience with
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candidates will be admitted to the PhD program in Health and Medicine. The education includes relevant courses amounting to about six months of study, a dissertation based on independent research
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candidate should have prior knowledge of quasi-experimental methods and, preferably, large data sources such as register data. The research fellow must take part in the faculty’s approved PhD program and is
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/or numerical model output related to cloud properties is desirable. Strong computational skills, and ideally experience with commonly used programming languages in the field (Python, MATLAB, IDL
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three years with research duties exclusively. The hired candidate will be admitted to the PhD program in Social Sciences. The education includes relevant courses amounting to about six months of study, a
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calculations. The focus of the project is to perform lifetimes measurements of excited states ranging from few picoseconds to several microseconds via recoil distance Doppler shift (RDDS) and fast timing methods
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of the employment period. Experience in experimental and computational mass spectrometry methods is an advantage. Experience in the preparation of bulk and single-cell BCR libraries is an advantage. Molecular biology