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programme No Joint degree / double degree programme No Description/content The Konrad Zuse School of Excellence in reliable AI (relAI) offers fully funded positions for doctoral researchers in the field
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evaluation frameworks for explainable and trustworthy micro-expression analysis, with relevance to human-centred AI, and healthcare-related affect analysis. The core novelty of the project is to shift micro
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artificial intelligence. The research will provide valuable experience in game development, user-centred design, accessibility research, and experimental evaluation. The project offers access to specialist
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evaluation framework covering statistical fidelity, temporal and spatial structure, physical plausibility and downstream task performance (e.g. train-synthetic-test-real forecasting). You will collaborate with
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evaluation, handling large datasets, including data collection, cleaning, storage, and management; Experience with integration of computational results with machine learning models to predict material
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that make real-world impact. Together we will make technological advances that bring compact, reliable and economical energy management. Motivation This PhD project focuses on the development of next
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a techno-economic analysis, you will evaluate the planned data center. The innovative technological concept for optimizing computing power integrates both batteries and the use of hydrogen
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datasets and an evaluation framework covering statistical fidelity, temporal and spatial structure, physical plausibility and downstream task performance (e.g. train-synthetic-test-real forecasting). You
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compounds, alongside knowledge of molecular biology techniques (e.g., SDS-PAGE). 8. Pursuant to article 5 of RJEC, the selection is to be made based on the evaluation of the scientific and curricular career
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. scholarship recipient, consisting of an initial period of 12 months, which – upon positive evaluation – will be extended to a maximum of 4 years. The individualized doctoral program allows the doctoral student