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, Environmental Health, Physiotherapy, or related scientific fields. 2.3 – Preferential factors: Preference will be given to candidates who demonstrate knowledge and skills in: a) Workplace risk assessment; b
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on the FCT website, as well as on the websites of the funding Operational Programs, if applicable. It is expressly mandatory to use the FCT logo available at http://www.fct.pt/logotipos/ and, when applicable
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scientific fields. 2.3 – Preferential factors: Preference will be given to candidates who demonstrate knowledge and skills in: a) Collection and organization of physiological data; b) Basic knowledge
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knowledge in mechanical vibrations and nonlinear dynamics, demonstrated through scientific publications and successful completion of 2nd and 3rd cycle (Master’s and PhD level) curricular units (proven
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Associação do Instituto Superior Técnico para a Investigação e Desenvolvimento _IST-ID | Portugal | 3 days ago
of the following documents: i) B1 Form – Fellowship application (https://ist-id.pt/recursos-humanos/bolseiros/#documentos-relacionados ); ii) Curriculum Vitae; iii) academic degree certificate, where applicable; iv
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stage. 3. Preferential Factors Proven experience with decision support systems based on knowledge bases and machine learning. Previous experience in machine learning applied to dynamic systems or orbital
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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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requirements: Experience using deep-learning algorithms. In-depth knowledge of Python and PyTorch. Previous experience collaborating on scientific projects. Publications on deep-learning topics. 4. Work Plan
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to provide the supporting documents by the grant contracting stage. 3. Preferential Factors Proven experience with decision support systems based on knowledge bases and machine learning. 4. Work Plan The work
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be duly proven at the time of hiring. 2; 3. Preferred requirements: Experience using Machine Learning algorithms. In-depth knowledge of Python and PyTorch. Previous experience collaborating