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of FCiências.ID - Association for Research and Development of Sciences at https://fciencias-id.pt/ . Time limits for the appeal procedure: In case of negative decision, the candidates have 10 business days, after
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Fellowships, available at https://drh.tecnico.ulisboa.pt/files/sites/45/despacho_8532_regulamento_bolsas.pdf Workplace: The work will be developed at the Membranes and Membrane Processes Laboratory of Centro de
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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
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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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). The grant aims to develop and implement the following activities: 1) Monitoring the implementation of the "NIZO" project, within IPC tasks; 2) Predictive analysis; 3) Development and implementation
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Associação do Instituto Superior Técnico para a Investigação e Desenvolvimento _IST-ID | Portugal | about 1 month ago
, available on https://dre.pt/application/file/a/127230968 . Workplace: The work will be developed at CEMAT of Instituto Superior Técnico, under the scientific supervision of Dr. Erida Gjini Website
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EARS – Ref. NORTE2030-FEDER-00542300 – 1432, co-funded by the European Regional Development Fund (ERDF) through the Northern Regional Programme 2021-2027 (Norte2030) and Portugal2030, under the following
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region of Portugal, although other tasks may be considered according to the profile of the recruited researcher. The researcher will be responsible for implementing spatial analysis algorithms, developing
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projects; knowledge of the English language. III. Work Plan: …………………………………………………………………………………………………………………. Work Plan PT1 — Development and prototyping of visitor monitoring stations • Design and assembly
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, in collaboration with the team responsible for the development of the ApneaScreener algorithm. Knowledge of data analysis tools, particularly Python and R, will be valued to support the interpretation