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programme Reference Number AE2025-0509 Is the Job related to staff position within a Research Infrastructure? No Offer Description Portuguese version: https://repositorio.inesctec.pt/editais/pt/AE2025-0509
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tools, with particular focus on multi-threaded and distributed scenarios. Experience with observability tools, particularly OpenTelemetry. Solid knowledge and experience in machine learning, deep learning
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benefit from health insurance, supported by INESC TEC. 2. OBJECTIVES: ● Research and develop novel reliable deep learning computer vision algorithms for the detection and quantification of GIM lesions
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Programme? Not funded by a EU programme Reference Number AE2025-0595 Is the Job related to staff position within a Research Infrastructure? No Offer Description Portuguese version: https
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Framework Programme? Not funded by a EU programme Reference Number AE2025-0599 Is the Job related to staff position within a Research Infrastructure? No Offer Description Portuguese version: https
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Programme? Not funded by a EU programme Reference Number AE2025-0601 Is the Job related to staff position within a Research Infrastructure? No Offer Description Portuguese version: https
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programme Reference Number AE2025-0567 Is the Job related to staff position within a Research Infrastructure? No Offer Description Portuguese version: https://repositorio.inesctec.pt/editais/pt/AE2025-0567
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26 Nov 2025 Job Information Organisation/Company INESC TEC Research Field Engineering » Computer engineering Researcher Profile First Stage Researcher (R1) Country Portugal Application Deadline 12
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FieldEngineering » Computer engineeringYears of Research ExperienceNone Additional Information Benefits Maintenance stipend: 1309.64 euros, according to the table of monthly maintenance stipend for FCT grants (https
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of the state of the art in machine learning for generation of artificial data; - identify and select the appropriate methods for the study in question; - develop the research capacity through the application