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, cancer-associated fibroblasts (CAFs) and immune cells, and to comprehensively profile their phenotypic and functional heterogeneity, lineage plasticity, and evolutionary dynamics. These insights will help
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system integration Hardware verification and experimental testing Integration of spectrum sensing and DoA algorithms on RFSoC platforms Integration and validation within the DRONE-SENSE platform
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Desirable: Good understanding of the EHDS ecosystem, TEHDAS 2 guidelines, and related regulations Experience with AI programming tools and algorithms using Python and R Experience working with OHDSI tools and
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the group, translating cutting-edge deep learning algorithms into robust, maintainable analysis tools and pipelines Implement and optimize large-scale deep learning workflows on GPU-enabled High-Performance
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) for SLAM and environmental awareness in GNSS-denied conditions Adapt hierarchical mission planners to decompose high-level defence missions into executable, EW-resilient tasks Optimize algorithms
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tasks/will do research on the following topics: Explore Foundation Machine Learning topics, including designing new architectures, and training algorithms Implement World Models for simulation