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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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-qualified biosensors for detecting molecular biosignatures during planetary exploration missions. The LMCOOL system uses integrated photonic circuits with asymmetric Mach-Zehnder Interferometer (aMZI) sensors
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develops space-qualified biosensors for detecting molecular biosignatures during planetary exploration missions. The LMCOOL system uses integrated photonic circuits with asymmetric Mach-Zehnder
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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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apply only via the button below. Address your letter of application to Roven Rommel Fuentes. In the application form, you will find which documents you need to include with your application. We look
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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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quality assessment; further develop onboard AI models capable of real-time anomaly detection directly on the satellite, expanding the mission scope while reducing latency and data transmission needs (a
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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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centres; the opportunity to contribute to the Φ-lab strategy and activities. You are encouraged to visit the ESA website: https://www.esa.int/ Field(s) of activity/research for the traineeship The objective