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on conjectures about the nature of posets that are hardest to saturate. The work will draw on ideas from extremal combinatorics, set theory and probabilistic methods, and it hopes to clarify how these two settings
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creative doctoral student with an interest in feminist, queer, and crip theories, as well as in embodied and spatial practices. As a doctoral student, you will have a great deal of influence over
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algorithms and methods for calibrated Bayesian federated learning for trustworthy collaborative Bayesian learning on data from multiple participants. The project will develop new methods, theory, and
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department is available at: https://www.umu.se/en/department-of-computing-science/ Project description Graph transformation is a well-established theory that studies computational methods to transform graphs
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with > 10k lines of code). Have knowledge of hardware and operating system fundamentals, ideally with a focus on Linux Be proficient in written and spoken English. Be comfortable working in a diverse
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, theory, and empirical data CV / curriculum vitae Certified transcripts of academic records and degrees 1-3 writing samples in Swedish or English, e.g. B.A. thesis, master’s thesis, academic publications
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and/or dynamic approaches to detect them in the code or prevent their execution at runtime. Keywords for this project: code analysis, static analysis, reverse engineering, defense mechanisms