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than the intended unitary transformation. Increasing the number of physical qubits does not by itself solve this problem. This project will investigate how optimization and data-analysis tasks can be
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tests on conventional construction materials Interest in experimental work, numerical modelling, and field investigation Experience with data processing and the analysis of material and structural
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the ability to work independently Excellent communication skills in English, both verbally and in written form; a good command of a Scandinavian language is an advantage Experience in data collection
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experimental and intervention-based social science. Experience with empirical data collection and analysis, participation in research projects, academic publishing, or interdisciplinary research will also be
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strength, durability, and structural testing of cement-based materials is an advantage experience with data processing and analysis of material or structural response is desirable Personal qualities strong
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package on digital home follow-up Contribute in the cross-cutting work on analysis and theory development The position will also support career development, ex. teaching related tasks Qualification
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and treatment experience from work with omics, big data and statistics, (e.g. using R or similar tools) experience using AI/machine learning for health outcome prediction proficiency in (both written
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and treatment experience from work with omics, big data and statistics, (e.g. using R or similar tools) experience using AI/machine learning for health outcome prediction proficiency in (both written
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project develops a generalisable neuro-symbolic verification framework, aiming at systematically transforming GenAI into auditable, verifiable, and socially responsible systems for High-Risk and Data
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) machine learning, statistics, mathematics and data science, (ii) law, and social sciences, and (iii) philosophy, the centre establishes a new framework and approach for advancing trustworthy AI and