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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