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, and biologists to align technological developments with biological research needs. Supporting radiobiology research projects with high-level technical expertise. Exploring AI-based methods for imaging
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assess its performance, techno-economic feasibility, and environmental and social impact. The project aligns closely with the European Green Deal and supports strategic autonomy by fostering collaboration
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uptake. Within TU Delft, we collaborate with industrial partners and multiple research groups in the Pro2Tech institute. The position will form a bridge between research groups in the Chemical Engineering
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experts and in alignment with ongoing initiatives within the Agency. Your objectives will be to perform independent research and development, targeting one or more of the following key areas, subject to
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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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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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believe that health monitoring and personalized medicine approaches can be achieved with clinical studies involving multiple patient samples, often in combination with stem cell derived in-vitro or organ
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stability and efficiency. Onboard Software Modelling: Modelling the behavior and timing constraints of onboard software introduces significant complexity. Ensuring alignment between the simulated and real
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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