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of the educational platforms; Manage the maintenance, development, and technical implementation of the different operating systems; Monitor and fine-tune functionalities so that it can be optimally used for different
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Sensor AI team at imec, we build nextgeneration edgedeployed, multisensor perception systems designed to operate under strict size, weight, and power and real-time compute constraints. These systems merge
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AI-driven network functions). Develop and integrate 6GApp‑like components, including: vertical application logic that reacts to network conditions, network‑application logic (AI‑based optimization
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modeling, constraint‑aware optimization, layout generation, verification). Advance algorithm-hardware co‑design for analog accelerators (optical, in‑memory, neuromorphic), leveraging performance‑ and physics
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Operations Research and Operations Management, such as network theory, combinatorial optimization, and econometrics. The project pursues three interrelated aims: first, to characterize how network structure
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the evidence-based deployment of various restoration strategies—such as patch repair, conventional restoration, and cathodic protection (ICCP)—alongside the selection of optimized repair mortars. Your work will
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shape our activities around this. You understand and optimize performance of various (local and distributed) AI and hybrid AI applications, frameworks, algorithms and libraries. You guide and help develop
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The Faculty of Sciences and Bioengineering Sciences, Department Computer Science, is looking for a PhD-student with a doctoral grant. More concretely your work package, for the preparation of a
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processing, network resource management to improve the performance of the future wireless communication systems. Finally, due to the large-scale nature, complexity, and heterogeneity of 6G networks
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CV and you should clearly indicate your skills in operations research, programming, and/or quantitative optimization. Also include your preference for working at KU Leuven or LISER. The KU Leuven’s