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, architectural theory, urbanism, architectural technology, gender studies, or critical theory. We are looking for a candidate with a strong interest in research, and the ability to work independently as well as in
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, life sciences, or engineering Applicants must be skilled in both oral and written communication in English, able to work independently as well as in collaboration with others, and be highly motivated
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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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genomes, resulting in vast (terabyte-petabyte) amounts of data. Using this technology, we aim to characterize complex bacterial communities across different environments, to be stored for deeper analysis
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harmful content or incorrect code. This project introduces a new idea: instead of relying on opaque, heavy machine-learning models, it learns transparent, rule-based rewriting systems that can transform
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health, biomedical engineering, applied mathematics, physics, or another quantitative field of relevance for the project. Have documented programming experience in R, Python or other common programming
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constraints such as sensitive devices running in a medical environment could be considered. Keywords for this project: code analysis, static analysis, reverse engineering, defense mechanisms, vulnerability
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to a rapidly developing area of research with relevance to ecosystem management, biodiversity, and fundamental ecological theory. Eligibility To fulfil the general entry requirements, the applicant must
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for applying (max two pages) A research proposal of 3-5 pages with a discussion of potential research problem, purpose, theory, and empirical data CV / curriculum vitae Certified transcripts of academic records
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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