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solutions, focusing on integrity assurance for safety-critical applications. It addresses the growing need for cognitive navigation systems that are able to operate reliably with a diversity of dedicated
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value tensions between stakeholders. This multidisciplinary PhD project aims to generate the necessary knowledge and tools to equip local decisionmakers to better deal with conflicting values in parallel
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knowledge of European law and particular interest in European law and international law Good degree Very good knowledge of German and English Experience in academic work is an advantage Good IT skills Please
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disseminate your knowledge Write a PhD thesis on the grounds of your project Key criteria for the assessment of applicants Applicants must have qualifications corresponding to a master’s degree related to
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discipline boundaries and abstraction levels Knowledge in integrated circuit design, testing and simulation using Cadence is a plus Knowledge of evolutionary optimization methods is a plus Very good
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on the following tasks with either with a stronger model-development or application focus: Design knowledge-graph-augmented transformers and retrieval-augmented generation (RAG) pipelines that enable
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- experience in working in an optical laboratory proven by publications - knowledge of spoken and written English The candidate should have a strong background in experimental techniques, with experience in
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for medical imaging, tailored for deep learning. The high-level goal of the project is simple: to use anatomical knowledge and existing knowledge as training data for deep neural networks (instead of manual
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provide crucial insights for a knowledge-based optimisation approach Support the further development of spectroscopic methods for the characterisation of antimony chalcogenide-based materials and interfaces
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, oriented in Energy Systems. Minimum 3 years of experience in energy system modelling and/or control. Knowledge of Energy Markets, Excellent knowledge of Python Spoken and writing capabilities in Spanish