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Postdoctoral Position in Computational Humanities to Research the Macroevolution of European Literat
Max Planck Institute for Empirical Aesthetics (MPIEA) | Frankfurt am Main, Hessen | Germany | 3 months ago, representing these influences through dynamic networks and directed graphs, and creating effective visualizations of large-scale literary networks. Using these inferred connections and networks, we will tackle
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proposals, concept sheets, study protocols, analysis plans, and related scientific documents for multisite and single-site clinical and epidemiologic research studies. Conduct literature reviews and
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experience in pig nutrition. Experience in conducting different types of animal experiments. Skills in the analysis of experimental data and the scientific communication of research results. For non
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, Colloborative Governance, and Social Network Analysis. The position is part of the research centre-of-excellence CenSSUR, financed by the Swedish Civil Defence and Resilience Agency (MCF). The project studies
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with experience in quantitative methods, such as statistical modeling or network analysis. Documented experience with plant community ecology, field experiments, plant-soil interactions, species coexistence
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methods for the modelling and causal analysis of mass transit systems. The research will focus in particular on the development and application of data science methods to address key challenges in capacity
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, including community groups, governmental bodies, and private sector entities. Conduct rigorous analysis and develop models for improving the domestic and global resilience of supply chains for energy
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research associate to advance the analysis, quality assurance, and calibration of automated pavement condition data and pavement performance modeling. The successful candidate will contribute to two
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, and participation tracking Administer assessments and manage the merging, cleaning, and quality control of survey, assessment, and administrative data Conduct quantitative analysis of skill growth and
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field. Strong proficiency and independence with large data analysis platforms (such as neuroimaging or microbiome platforms), multivariate modeling strategies and network connectivity analyses