351 machine-learning "https:" "https:" "https:" "https:" "RAEGE Az" Fellowship positions in Portugal
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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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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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approaches for binarized network models, identifying their strengths, limitations, and applicability within privacy-focused machine learning frameworks. Special attention will be given to evaluating
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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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14 Nov 2025 Job Information Organisation/Company INESC ID Research Field Engineering » Computer engineering Researcher Profile First Stage Researcher (R1) Positions Master Positions Country Portugal
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. Admission Requirements: Master's degree in Computer Engineering or Computer Science Engineering, or in a related area. Preference is given to candidates who are integrated in the fields of in the fields
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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
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(Legal regime of recognition of academic degrees and diplomas of higher education awarded by foreign higher education institutions) (available at https://www.ua.pt/en/sgrh/bolseiros ). 7. Place of work
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Reference Number AE2025-0579 Is the Job related to staff position within a Research Infrastructure? No Offer Description Portuguese version: https://repositorio.inesctec.pt/editais/pt/AE2025-0579.pdf CALL FOR
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“LASIGE”, “UID/408/2025”, “DOI: https://doi.org/10.54499/UID/00408/2025 ”, funded by the Fundação para a Ciência e a Tecnologia, I.P./MECI through national funds under the Strategic Funding 2025-29, under