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simulation Analysis and presentation of results at scientific conferences and in journals Support in the preparation of third-party funding applications Participation in academic teaching and public relations
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funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Are you interested in developing computational Social Network Analysis (SNA) methods
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environment, we offer you much more: https://go.fzj.de/benefits We welcome applications from people with diverse backgrounds, e.g. in terms of age, gender, disability, sexual orientation / identity, and social
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in Genetic, data visualization, omic data analysis, and familiarity with network theory and its applications are advantageous. The applicant must be able to demonstrate good social and communicative
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concept to curved, high-order discretisation, while preserving accuracy, mesh validity, and robustness. This will involve advances in CAD–CAE interfacing, curved element optimisation, multiscale geometric
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costs will be deducted in accordance with the applicable national regulations. Please find additional information in the Information package for Marie Curie fellows in doctoral networks ( https
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analysis and are knowledgeable about AI tools that can analyse large datasets, including predictive modelling, sentiment analysis, or social network analysis. Experience with AI applications in sociology
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or optimization Constrained or combinatorial query evaluation Data modeling under uncertainty or imprecision Design and implementation of database or data analysis systems Excellent programming and prototyping
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systems, understand the design and development decisions that propagate social biases, and develop theoretical and algorithmic approaches to mitigate them. Key responsibilities include developing bias
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activities: Analysis and presentation of results at scientific conferences and in journals Support in the preparation of third-party funding applications Participation in academic teaching and public relations