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is placed on functional safety and cybersecurity, with DT-based verification approaches designed to support compliance with ISO 26262 and SOTIF standards. The successful candidate will join an
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of Ni#Al intermetallic superalloys produced via laser powder bed fusion (LPBF). Ni#Al-based superalloys exhibit enhanced mechanical properties over traditional Ni-based alloys, primarily due to their high
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Description The aim of this research is to enhance the durability and fire resistance of veneer-based wood products by developing and optimizing a sustainable wood densification process. The study seeks
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and policy decisions based on an environmental, social and health impact assessment (ESHIA) methods aligned with the targets of the UN Sustainable Development Goals (SDGs). Implementation
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scenarios. Designing validation metrics for coverage, criticality, and novelty. Integrating LLM-based testing into simulation platforms (CARLA, SVL) and open-source stacks (Autoware). Applying validation
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-based control of multilayer electrospinning. The task of the PhD student is constructing a scalable, multiparameter model, which maps online observable process parameters (e.g. spinneret voltage, flow
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electronics and control strategies to ensure seamless integration of heat pumps and heat recovery ventilation into DC-based building energy systems. Conducted in collaboration with Daikin Europe and Airobot
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quality models for multilayer membranes, and 2) no robust and scalable methods for model-based control of multilayer electrospinning. The task of the PhD student is constructing a scalable, multiparameter
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properties based on the studies carried out Function material prototype development with desired functional properties The applicants should fulfil the following requirements: Master's degree in Metallurgy
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, complemented by quantitative LCA analysis. The outcome will be a decision support system (DSS) and methodology guidelines that support policy makers, industry, and vulnerable communities in making evidence‐based