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programme Reference Number AE2026-0088 Is the Job related to staff position within a Research Infrastructure? No Offer Description Portuguese version: https://repositorio.inesctec.pt/editais/pt/AE2026-0088
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programme Reference Number AE2026-0090 Is the Job related to staff position within a Research Infrastructure? No Offer Description Portuguese version: https://repositorio.inesctec.pt/editais/pt/AE2026-0090
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techniques and machine learning algorithms. The goal is to decipher patterns in the bioelectrical signals. Project UID-50008-2025 funded by FCT-Fundação para a Ciência e a Tecnologia. Scientific Area: Basic
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eligible, co-funded by EU funds under project/support UID/50008/2025 – Instituto de Telecomunicações, with DOI identifier - https://doi.org/10.54499/UID/50008/2025 . This grant under project NEXUS proposes a
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Advanced Remote Sensing Technologies, under the project reference no. 2023.16642.ICDT/COMPETE2030-FEDER-00886500. The main objective of this research work is to develop algorithms and methods combining multi
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implementation of methods, algorithms, and applications for the Portuguese use case. - Specification and development of the Portuguese pilot implementation. - Active participation in meetings with
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(scientific sub-areas and DEI topics: https://sigarra.up.pt/feup/pt/UNI_GERAL.UNIDADE_VIEW?pv_unidade=151 ). 4. Assessment and ranking in relative merit Once the successful candidates on the basis of absolute
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(scientific sub-areas and DEI topics: https://sigarra.up.pt/feup/pt/UNI_GERAL.UNIDADE_VIEW?pv_unidade=151 ). 4. Assessment and ranking in relative merit Once the successful candidates on the basis of absolute
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for planners and public authorities. Accordingly, the work plan includes: 1. Analysis of image databases classified according to the main construction attributes; 2. Development and calibration of AI algorithms
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algorithms for anomaly detection and predictive maintenance of subsea structures Duration: 6 months Maximum Duration Including Renewals: 12 months Objectives Development of AI-driven models to identify