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costs but also because of space and resource scarcity. The prevailing logic behind infrastructure investment decisions, which assumes infrastructure should serve and afford an ever-increasing demand
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broad genomic screening and (2) support hospitals in mitigating the impact of pandemics through optimized decision-making and data collection strategies. The project brings together experts in artificial
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tools and simulation models to (1) detect novel pathogens early through broad genomic screening, (2) support hospitals in mitigating the impact of pandemics through optimized data-driven decision-making
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-critical decisions in real time. These systems rely heavily on sensor data (e.g., GPS, pressure transducers, image processors), making them vulnerable to stealthy threats like False Data Injection (FDI) and
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, provide input to decision-makers (e.g., related to the Dutch Climate Act), and contribute to integrated decision support. PhD on Dynamic Material Flow Analysis (MFA): This project addresses critical
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, textural, and sensory analysis. Design texturization experiments to improve gelling and emulsifying properties of legume ingredients. Develop innovative procedures for non-invasive determination of food
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, disability, ethnicity, gender, gender identity and expression, religion or sexual orientation. All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin
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Center on AI for Decisions and Trust). Eligibility criteria PhD in Cybernetics, Control Engineering, Robotics, Computer Science, Statistics or related field. Demonstrated experience in research and/or
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strategies, provide input to decision-makers (e.g., related to the Dutch Climate Act), and contribute to integrated decision support. PhD on Dynamic Material Flow Analysis (MFA): This project addresses
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will employ a data-driven approach and state-of-art methodologies to support decision-making for an optimal and smooth integration of the e-mobility sector, with specific focus on cost-effectiveness