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the master's degree has been awarded. A strong interest in Algorithmic Number Theory and/or Cryptography is a requirement. Experience in programming is an advantage. Experience in developing and coding
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developing synthetic datasets using simulation environments. Familiarity with the theory and implementation of diffusion models and GANNs applied to the same context. Minimum requirements: • Knowledge
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with Climate Crisis and Ecological Thought. Task 2: This task explores the theory and practice of artistic research and artistic creation within the context of climate change. Applicable legislation and
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research interests encompass a broad range of topics, including discrete mathematics, finite model theory, and the complexity of logical systems, as well as the foundations of AI, explainability, and answer
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will work at the interface of first-principles theory (e.g., DFT) and reactive force field modeling (e.g., ReaxFF), developing multiscale, high-throughput workflows that simulate and optimize growth
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the thesis with your application. Documentation of your completed PhD degree must be submitted before commencement. Demonstrated knowledge of pedagogical theory, particularly linked to approaches such as
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355137 “From Extremal Combinatorics to Algorithms and Back”. About the project/work tasks This project bridges two foundational fields in computer science and mathematics: Theory of Algorithms and Extremal
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measurement quality issues related to respondent non-compliance in ecological momentary assessment or exploring the use of machine learning techniques to aid the estimation of item response theory (IRT) models
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. The work will be at the interface between data analysis and theory. We are also open to employing data-driven techniques if the candidate wishes. The ocean is currently evolving with the changing climate
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consider all types of data, from full complexity climate models, to turbulence models, to in situ data. The work will be at the interface between data analysis and theory. We are also open to employing data