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attitudes toward public policies and political preferences associated with the green transition at the regional level by combining administrative labour market data and survey data on political preferences
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record and writing sample); a CV, including: (a) details of studies and in particular a list of completed courses and corresponding grades; (b) a list of all relevant outputs (especially articles and talks
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for the position and how you can contribute to the project in terms of both teamwork and expertise (with reference to your doctoral studies, publication record and writing sample); A CV, including: (a) details of
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transformation pathways. Develop and implement suspect analysis and non-target workflows for the identification of transformation products (TPs) in real-world samples using data obtained by LC-MS. Create digital
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the green transition at the regional level by combining administrative labour market data and survey data on political preferences; Setting up and conducting a discrete choice experiment to identify how
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postdoctoral researcher, you are expected to: gain knowledge of the field through literature survey, discussion with team members, and internal lab meetings; contribute to the design of experiments and perform
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flow injection of water-based slugs into a push solvent followed by NMR detection of metabolites[1] . This platform included automated sample handling robotics, a custom-built flow cell, and precise
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several—of the following: policy analysis, survey research, quantitative analysis, scientometrics, stakeholder co-creation. Advanced proficiency in R and python for statistical and corpus analysis Ability
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about this opportunity and fit the profile? Please send us your application in one combined PDF-file containing: A letter of motivation A curriculum vitae, including relevant publications A writing sample
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a complementary team of postdoctoral researchers with diverse skills, interests, and backgrounds. For that reason, all candidates will be asked to complete a short survey about their skills, alents