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Field
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quality that is not visible in blood or clinical characteristics. By combining the results of AI-driven image analysis of histological samples conducted in this PhD project with biomarker data and outcome
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methods and data analysis to efficiently generate the right insights. Position within networks, you can effectively gather information and context; you maintain and expand your network for sustainable
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description In the NWO-project “Dignity in place” we combine fundamental philosophical analysis of the concept of dignity with an engaged participatory research approach, co-creating knowledge with migrant
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computer systems. The modeling, analysis and optimization of the extra-functional aspects of these systems, such as performance, power/energy consumption, thermals, reliability, security or verifiability but
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boundaries of system-level modelling, analysis, design, exploration and synthesis beyond the current state-of-the-art? Or are you curious to learn more about the application of AI for system diagnostics and
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data collection fieldwork (quantitative and qualitative) related to health and WASH services followed by econometric and spatial analysis, and engaging with local communities and decision-makers. Your
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assessment and certification framework, leveraging multiple data sources and probabilistic reliability analysis to predict both current and future safety levels. This project contributes to designing future
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solid mechanics, sensing and signal processing, and robotics? If so, you might be an excellent candidate. Information The demand for autonomous robots capable of physically interacting with the world in
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methods (semi-structured interviews, focus groups, participatory research, including data analysis); Excellent communication and academic writing skills inEnglish, (see the application format
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data collection fieldwork (quantitative and qualitative) related to health and WASH services followed by econometric and spatial analysis, and engaging with local communities and decision-makers. Your