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execute a research project on a UN Special Political Mission in a country in the Latin America, MENA, or Central Asia region—in line with the objectives of the funded project and in close collaboration with
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In this role, you will be responsible of developing cutting-edge deep learning models for real-time image and video analysis (e.g., segmentation, object tracking, reinforcement learning), with
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partners to reduce CO2 emissions in steel production using machine learning. You can find more information here . You will work on a theoretical and an applied project on data-enhanced physical reduced order
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learning Deep learning model generalisation techniques Translating deep learning models into clinical settings Experience developing deep learning models for real-time image/video segmentation, object
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the autonomous event reaction management part of the fault detection, isolation and recovery (FDIR) software. (a)Assessing the performance and fault tolerance of neuromorphic hardware The main objective
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of developing cutting-edge deep learning models for real-time image and video analysis (e.g., segmentation, object tracking, reinforcement learning), with applications to medical imaging and robotic systems. In
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learning models for real-time image and video analysis (e.g., segmentation, object tracking, reinforcement learning), with applications to medical imaging and robotic systems. In this role, you will
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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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diverse domains—such as manufacturing, rental platforms, and production systems—where decision-making must balance conflicting objectives, leverage real-time data, and ultimately support sustainable
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Generation in Context: Object- and Interaction-Aware Generative AI Models of Language Use”. Preferred start date is 1 February 2026 but is negotiable. Job descriptionFace-to-face conversation is the primary