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or as soon as possible thereafter. The successful candidate will be working on statistical methods, scientific programming and analysis projects together with external collaborators and together
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preferably has strong programming skills and experience with the modeling and simulations of fluid or solid mechanics or ice sheet flow and deformation (for example by use of finite element/volume methods
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possible thereafter. The successful candidate will be employed in the Ingredient and Dairy Technology section and will join the Food Proteins Research Group. Application Deadline: 30 May 2025 About the
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on how accountability could be ensured for victims of mercenarism. MERCURY focuses on this accountability void, combining (1) cutting-edge, data-driven mapping and analysis of mercenary operations with (2
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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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thereafter. The project The PhD project is mainly based on data from the Generation Healthy Kids project, a large-scale 2-year school- and community-based multi-component, multi-setting intervention among
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completion). Expertise in qualitative research methods, particularly process-tracing, elite interviews, and comparative case study analysis. Strong knowledge of business power, regulatory governance, and
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programmers. You will also work closely together with course teams to develop data generation, data analysis, modeling, simulation, and machine learning workflows as well as develop custom data science-related
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pipelines, as well as processing and analysis of different data modalities. You will have the opportunity to develop data science methodologies. The position involves interdisciplinary research through
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scientific publications, incl. papers, articles and books, must be written in Danish, Swedish, Norwegian or English. The application MUST include the following 8 elements: Application / letter of motivation