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proficiency in coding, knowledge of GIS environments and point cloud processing, strong interest in heritage scenarios as well as a collaborative attitude for interdisciplinary work between computer scientists
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LanguagesENGLISHLevelGood Additional Information Additional comments The full text of the call of proposal can be found at the following link: https://unipv.patisweb.it/page_tg/51302/concorsi-per - ricercatori.html
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integrating AI with vision at the edge. Despite recent advancements, the synergy between AI and computer vision remains constrained by fundamental imaging bottlenecks. Conventional HDR techniques frequently
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multilingual settings, such as machine translation, and emerging agentic and interactive multimodal NLP systems involving human-AI collaboration present frontier evaluation challenges. The ultimate goal is to
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cities. Besides the requirements established by the rules of the IECS school, preferential characteristics for candidates for this scholarship are: – Master degree in Computer/Data Science, Mathematics
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look for correlations between transient phenomena in the ionosphere and seismic events. The successful candidate will develop and apply state-of-the-art machine learning techniques to enhance
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process data locally while ensuring efficient and scalable artificial intelligence at the edge. TinyML and Edge AI have demonstrated the feasibility of embedding machine learning models on such devices
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a strong background in artificial intelligence and 3D computer vision, with solid programming skills and an interest in 3D data processing (e.g. point clouds and neural scene representations), along
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expertise in biodegradable drug-delivery technologies (https://www.mgshell.com ) and Politecnico di Milano’s strengths in microfabrication and digital machining. Secondments include MgShell (3 months
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the field are foreseen. The job includes participation in (international) conferences and (hybrid) workshops, as well as occasional travel Where to apply Website https://recruitment.jrc.ec.europa.eu/vacancy