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logistics networks. The research will focus on addressing challenges like efficiency, sustainability, scalability, data sovereignty, and alignment of subsystems. 2. Machine Learning for Collaborative
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acceleration and neuromorphic computing, while also aligning with the hosting team’s strategic priorities in onboard autonomy, radiation robustness, and efficient edge processing. Scientifically, you will in
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routes need to be developed & demonstrated at pilot scale for industrial uptake. Within TU Delft, we collaborate with industrial partners and multiple research groups in the Pro2Tech institute
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to provide targeted interventions for improved patient outcomes. Aligned with RIS3 aims, it strengthens the Northern innovation ecosystem. The specific role of the postdoctoral researcher working in
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). Has experience in extracting structured information from unstructured documents. Hhas experience working with text in multiple languages. Is committed to Open Source and Open Science practices. Has
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the cancer more effectively. In multiple studies, this therapy has demonstrated impressive results after only 4 to 6 weeks of treatment, leading to improved patient survival without recurrence of the cancer
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well as analytical approximations to grasp their multiple spatial and temporal scales. Experimental partners at TU Eindhoven include the group of Sander Nijdam, an expert in measuring streamer discharges with highest