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Instituto de Geografia e Ordenamento do Território da Universidade de Lisboa | Portugal | 6 days ago
. The successful candidate will support research activities related to Geographic Information Systems (GIS), spatial statistics, accessibility modelling, territorial typologies, dashboard development, and scientific
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Instituto de Geografia e Ordenamento do Território da Universidade de Lisboa | Portugal | 6 days ago
Europe Programme. The successful candidate will support research activities related to geographic information systems (GIS), territorial indicators, open science, public policy analysis, statistical data
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combustion. b) Development of statistical models. c) Support to all D&C and managing activities. 7. Applicable legislation and regulations: Research Grant Holder Statute, as amended by Decree-Law no. 123/2019
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, filter banks, transforms, and statistical or entropy coding; Development of compression methods tailored to the spatial, temporal, and spectral characteristics of DAS data; Development of algorithms
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to equipment maintenance, particularly for metabolomic analysis of biological systems (tissues, cells, biofluids). Prior experience with advanced multivariate statistical analysis methodologies and the use
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engineering, information systems, geography, spatial planning, remote sensing and GIS, data science and advanced analytics, statistics and information management, as well as geographic information science and
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Associação do Instituto Superior Técnico para a Investigação e Desenvolvimento _IST-ID | Portugal | 3 months ago
from the Quadros de Pessoal (QP) and Sistema de Contas Integradas das Empresas (SCIE). The research activities will involve data preparation and management, statistical and econometric analysis
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projects; Experience in web, audio and video editing; Experience in using statistical analysis and qualitative analysis software; Experience in organising events. LanguagesENGLISHLevelExcellent
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innovative post-processing methodologies for air quality forecasts generated by chemical transport models—through statistical analysis of results and comparison with observational data—thereby contributing
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and identify green skill gaps within the prison context. Phase 2: Data Modelsling and Structuring: Utilize data analysis techniques (e.g., Python and statistical modelling) to process information