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Field
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NAS that considers accuracy, latency, energy, and carbon at the same time. Delivering a carbon-aware NAS framework that generates Pareto-optimal model architectures and model libraries whose variants
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algorithms. Knowledge of satellite communications, wireless sensing, radio propagation, optimization, or digital twins is considered an asset. You have strong programming skills in Python and/or MATLAB
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, the reliable prediction of fire propagation and optimization of resource deployment remains severely constrained. Five PhD students will perform research to meet FireRisk’s core objectives: - the development
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the system to learn optimal adjustment policies directly from interaction with the physical infrastructure. Anomaly detection and fault diagnosis. The candidate will develop a multi-level diagnostic framework
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systematic optimization strategies to maximize yields of desired products. A key aspect of the project is understanding and improving catalyst stability, including identifying deactivation mechanisms and
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towards this requirement. Technical Skills or Knowledge: Proficiency in Python and other related software, such as MATLAB, R, Julia, SQL, and data analysis/optimization libraries. Preferred Competencies
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such scholarship will be awarded 2 points, up to a maximum of 6 points. • Specific research experience: Demonstrable experience in the fabrication, characterization, process optimization, and/or
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bounds. Design transmission codes that achieve these theoretical limits, ensuring optimal trade-offs between detection avoidance, sensing accuracy, and communication reliability. Develop advanced
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to maintain the tunnel stable. At depths of several hundred metres, validated design guidelines for this combination of challenges do not yet exist, which limits optimal decision-making. This PhD
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the opportunity to perform experiments in Maastricht and at the RIVM, gaining experience in respiratory toxicology and in designing optimal in vitro experiments. You will also have opportunities to build an (inter