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No. 40/2004, of August 18, in its current wording; FCT, I.P. Research Grant Regulations, in force (https://www.fct.pt/wp-content/uploads/2026/01/RBi_Republicado_2025.pdf ); Regulation No. 522/2020
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? No Offer Description Portuguese version: https://repositorio.inesctec.pt/editais/pt/AE2026-0272.pdf CALL FOR APPLICATIONS: RESEARCHER Job/position/grant: Job reference: AE2026-0272 (CPES-Geral-CPES
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programme Reference Number AE2026-0269 Is the Job related to staff position within a Research Infrastructure? No Offer Description Portuguese version: https://repositorio.inesctec.pt/editais/pt/AE2026-0269
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Description Portuguese version: https://repositorio.inesctec.pt/editais/pt/AE2026-0293.pdf CALL FOR GRANT APPLICATIONS (AE2026-0293) INESC TEC is now accepting grant applications to award 1 Research Grant (BI
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Number AE2026-0202 Is the Job related to staff position within a Research Infrastructure? No Offer Description Portuguese version: https://repositorio.inesctec.pt/editais/pt/AE2026-0202.pdf CALL FOR GRANT
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Applications must be exclusively submitted on the admissions platform of the Instituto Superior Técnico at https://fenix.tecnico.ulisboa.pt/fenixedu-admissions and requires registration and validation
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, Python, and others) for processing and statistical analysis; Practical experience in processing, analysing, interpreting, and visualising data in IES and cyclic voltammetry. Good oral and written
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Including Renewals: 3 months Contest Procedure Applications must be exclusively submitted on the admissions platform of the Instituto Superior Técnico at https://fenix.tecnico.ulisboa.pt/fenixedu-admissions
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Instituto de Geografia e Ordenamento do Território da Universidade de Lisboa | Portugal | 18 days ago
Neighbourhoods with Different Levels of Accessibility" (Project Reference: DUT/0007/2022), funded by the Foundation for Science and Technology (FCT, I.P.). DOI: https://doi.org/10.54499/DUT/0007/2022
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data (e.g. instrumental, laboratory, environmental, numerical and categorical data, text, geospatial data or time series); c) Experience in Python programming and in data analysis and machine learning