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Faculty of Health and Medical Sciences, University of Copenhagen We are offering a three-year PhD fellowship in image analysis using deep learning, commencing 1 December 2025 or as soon as possible
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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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of the department: Algebraic and arithmetic geometry, applied algebra, combinatorics, geometric group theory, geometry and geometric analysis, Lie theory, representation theory, number theory, and topology, as
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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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research (thesis/publications). Experience with omics data analysis (esp. RNA-seq) Bioinformatics tools and computational skills (R/Python). Our group and research- and what do we offer? The research group
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responsibilities. The ratio may vary over time. In relation to the project, the postdoc is responsible for conducting fieldwork, producing, transcribing and coding data, analysis and publication, giving
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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