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resolution techniques are explored to achieve quantitative reconstruction of nanoscale structure images by developing novel DUV/EUV imaging optics and quantitative phase retrieval algorithms. A qualified
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, contribute to cutting-edge research in the field of emerging sensing technology, and research publications. Develop, test and evaluate novel AI algorithms to advance multi-modal sensing in resource constrained
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Systems Section - and - EO Data Architect and AI Expert in the Ecosystem Development Section within the Copernicus Ground Segment and Data Management Division, Earth Observation Mission Management and
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advanced mathematical algorithms and AI frameworks for modeling and optimizing power electronic components and systems. To support our team, we are looking for a working student (all genders) in the field
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on optimal sequential decision-making in critical healthcare. The project aims to develop mathematical foundations for rigorous, interpretable, and data-driven decision models that integrate: Markov Decision
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-native wireless communications and networking, specifically developing context-aware multimodal Generative AI (GenAI) models, scalable mixture-of-experts (MoE) at the network edge, and multi-agent
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motivated Senior Scientists to join our research team in the field of AI for Precision Medicine and Therapeutics. They will work on developing Artificial Intelligence (AI) and network data science algorithms
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continuous growth within a world-renowned research institution. Opportunities for mentorship and professional development including potential contribution to research publications. Principal Responsibilities
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implement machine learning algorithms to model and analyze dynamic phenomena in milling processes Explore and apply Physics-Informed / Physics-Guided Machine Learning approaches Design and develop cloud-based
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-off between algorithmic complexity and conservatism by finding a balance between the two strategies described above. The interest and limitations of this idea will be illustrated in particular by a