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efficiency, quality, and outcomes. A special focus is natural language processing (NLP) for health data, including large language models (LLMs) and agent-based frameworks. The project aims to develop
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PhD Stipend in Dynamic Modelling, Simulation and Optimization of Power-to-X Processes Apply Vacant position PhD Stipend in Dynamic Modelling, Simulation and Optimization of Power-to-X Processes
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Your privacy, your choice We use essential cookies to make sure the site can function. We also use optional cookies for advertising, personalisation of content, usage analysis, and social media, as
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. Independently running well established techniques in the immune field including: spectral flow cytometry, western blots, multiplex ELISA and transcriptomic analysis. Performing independent research of
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/1115 Employment type: Full Time Apply At the Faculty of Medicine, Department of Health Science and Technology, one or more PhD stipends in Unsupervised Learning for Medical Image Analysis are available
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: Full Time Apply We hereby invite applications for one or more PhD position focusing on the development and application of hyperspectral imaging technologies for bulk forensic evidence analysis. The
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computational methods for privacy Experience working with unique, real-world health data Collaboration with an interdisciplinary research team across data science, mathematics, and health Skills highly
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experience in scientific programming, preferably in Python. Knowledge of power system analysis and optimization (e.g., power flow and optimal power flow), as well as experience with quantum computing
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, reusable and reproducible computational modules for dynamic material flow analysis. The modules will support the integration of technology deployment scenarios, material intensities, product lifetimes
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