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theory and probabilistic methods, and it hopes to clarify how these two settings, hypergraphs and posets, connect through their shared saturation questions. Combinatorics and mathematics in Umeå
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or performance-based approaches is considered an advantage. Previous knowledge of gender studies and architectural theory is also an advantage. Terms of employment The appointment aims at a doctoral degree, and
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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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, 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