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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
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); Experience in dashboard development and publication of geospatial information through Web Feature Services (WFS); Excellent command of Portuguese and English, both written and spoken. Specific Requirements
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https://dre.pt/dre/detalhe/decreto-lei/57-2016-75216371 Foundation for Science and Technology Scientific Employment Regulations Regulamento n.º 1083/2023, de 12 de outubro in its current wording https
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the reference REFARMING-NORTE2030-FEDER-02719900, financed by Northern Regional Programme 2021-2027 (Norte 2030), under the following conditions: Scientific Area: Geospatial Engineering. Admission requirements
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component: - Undertake advanced training in qualitative, quantitative, participatory and geospatial research methods. - Participate in seminars, scientific meetings and training activities organised by
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raster geospatial data related to soil degradation, preferably in areas at risk of desertification; (ii) Proven experience, as an advanced user, with a GIS (e.g., ArcGIS or QGIS), with the R project
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Reference: IT137-26-355 I - Legal admission requirements I.I - Grant Recipients: Students enrolled in a master’s degree in the scientific area of Geospatial Information Engineering. I.II - [JB3.1] Ineligible
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through the Fusion of Geospatial and AITechnologies Pre-FACED Project, which is coordinated by ERATOSTHENES CENTRE OF EXCELLENCE from Cyprus and includes the participation of ADAI, and Sim4Safety from