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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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offer you; you can find below! Everything you need for a good work-life balance : the option to work from home in consultation with your manager, 41 days of paid leave with a 40 hour contract, 8% holiday
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the potential to radically change and improve the performance of breast cancer screening, allowing for an increase in the early detection of cancer, while reducing the rate of false alarms. As a result, we
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positioned in Theme II Production. The programme offers an ambitious high-gain challenge that goes beyond what’s state-of-the-art to find greener alternatives to well-established processes and raw materials in
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, MENA, or Central Asia region—in line with the objectives of the funded project and in close collaboration with the Principal Investigator. Collaborate closely with the Principal Investigator on the team
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-tech by 2050. This project is positioned in Theme II Production. The programme offers an ambitious high-gain challenge that goes beyond what’s state-of-the-art to find greener alternatives to well
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. Marco van de Ven. In the application form, you will find which documents you need to include with your application. We look forward to receiving your application. The first interviews will take place