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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
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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
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Translating deep learning models into clinical settings Experience developing deep learning models for real-time image/video segmentation, object tracking, 3D reconstruction, super-resolution. Have a passion on
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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
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settings Experience developing deep learning models for real-time image/video segmentation, object tracking, 3D reconstruction, super-resolution. Have a passion on obtaining external funding and project
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-at/job-application-procedure-and-employment-conditions What we find important Promoting an inclusive community is central to Leiden University’s values and vision. Leiden University aims to be an inclusive
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-at/job-application-procedure-and-employment-conditions What we find important Promoting an inclusive community is central to Leiden University’s values and vision. Leiden University aims to be an inclusive