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areas*; 2. Technical Skills - Experience in processing 3D point clouds (LiDAR or photogrammetry); Knowledge of GIS, remote sensing, or spatial analysis; 3. Research Experience (Preferred) — Previous
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Instituto Superior de Contabilidade e Administração do Porto do Politécnico do Porto | Portugal | about 1 month ago
research and project management support. Selection process The selection method will be based on the following criteria and respective weightings: a) Academic curriculum relevant to the area of the call and
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operation code at the Funds Platform COMPETE2030-FEDER-00870200, co-financed by COMPETE 2030 by Portugal 2030, and by the European Union, under the following conditions: Scientific Area: Mechanical
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rehabilitation of the built environment”, project number 42689, operation code NORTE2030-FEDER-02718000, co-financed by the European Regional Development Fund (FEDER), through the Northern Regional Program 2021
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sustainable rehabilitation of the built environment”, project number 42689, operation code NORTE2030-FEDER-02718000, co-financed by the European Regional Development Fund (FEDER), through the Northern Regional
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, FOR THE PROJECT RESEARCH STUDENTSHIP, FOR THE PROJEC ‘HEALTH-UNORTE II’ (OPERATION CODE ON THE NORTE2030-FEDER-01786400 FUNDS BALANCE), COFINANCED BY THE EUROPEAN REGIONAL DEVELOPMENT FUND (ERDF) THROUGH THE NORTE
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of the Regulation of Research Grants of University of Porto, in force. The payment will be made by bank transfer. Selection procedure: The curriculum of the candidates (60%) will be evaluated based on the merit
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) Documents attesting the academic degrees obtained and the respective final grades* (at the application stage, these may be replaced by a declaration of honor, as stated in point no. 2); iv) Declaration
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Cycle Assessment (LCA) tool, according to applicable normative frameworks; Analysis of agri-food production systems, namely regarding the identification of inputs and outputs and process flows; Use and
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hands-on experience with Python and ML libraries (PyTorch/TensorFlow) experience with signal/image processing or computer vision for video strong programming and data engineering skills Desirable