7 composite-process-modeling Postdoctoral positions at University of Copenhagen in Denmark
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modelling low-resource languages. Applicants are also expected to contribute to work on data pre-processing, tokenization, model training. The candidate will be affiliated to the project group ‘Danish
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collaboration with survey providers in Denmark and Germany. Analyzing survey data using quantitative methods such as conjoint analysis, regression modeling, and causal inference techniques. Writing academic
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practices, with a particular emphasis on computational approaches. Other things being equal, applicants with previous experience in methods such as natural language processing, representation learning, and/or
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framework to understand processes of “re-gendering,” combining concepts on the re-making of life after war, relatedness with kin, institutions and the state, and intersectionality. The postdoc project focuses
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through self-regulation, lobbying, and coalition-building. Key Tasks: Conduct comparative case studies of business self-regulation in wage policy (WP2) and climate policy (WP3) in Germany. Utilize process
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research area. GDPR statement about data use: The University of Copenhagen UCPH) is responsible for the data that the applicant enter when applying for at job using Mathjobs.org. Why do UCPH process your
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national human rights courts, tribunals, mechanisms, and transitional justice processes, and propose potential pathways to justice for victims. This position relates to the second part of the project