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following fields (preferably several): recommender systems, user modeling, algorithmic fairness and ecological aspects (e.g., of recommendation algorithms/systems), simulation studies (e.g., simulation
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, spectral graph theory, and metric embeddings, combining these tools to address fundamental challenges in modern algorithm design. More information about us can be found at https://taa.cs.univie.ac.at/ Your
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and determination? We are currently seeking a/an 2 University assistants predoctoral (group "Algorithms and Optimization") 39 Faculty of Computer Science Job vacancy starting: 01.10.2026 (MM-DD-YYYY
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-impact projects across our core focus areas. We are looking for curious minds who are excited to push the boundaries of responsible AI. Learn more about the lab's work at: https
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and the Faculty of Physics. We are seeking a highly qualified researcher with a strong background in tensor network methods, in particular the development of numerical tensor network algorithms, and
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publication projects Application of statistical methods and advanced algorithms for the analysis and interpretation of research data Visualization and presentation of analytical results for scientific
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projects Application of statistical methods and advanced algorithms for the analysis and interpretation of research data Visualization and presentation of analytical results for scientific publications
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of optimization algorithms (desirable) Ability for integration into the department’s research profile and in particular into interdisciplinary cooperation projects (SFB MR-DYNAMO) Very good command of english
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parameters that determine energy fluxes and permafrost dynamics using inverse problems techniques. The developed algorithms and methods will be integrated into the LPJmL Dynamic Global Vegetation Model. Close
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experts Constructing and analysing attack graphs from dependency data, using and adapting algorithms to run simulations and optimizations Integrating project results into partners' processes, identifying