152 machine-learning "https:" "https:" "https:" "https:" "UCL" "UCL" "UCL" "UCL" Master scholarships in Portugal
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of the Instituto Superior Técnico at https://fenix.tecnico.ulisboa.pt/fenixedu-admissions and requires registration and validation of the candidate's identity. Applications are only accepted when the form available
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application of statistical Machine Learning tools. WORK PLAN Collaborate in the following tasks of the project: a) Contribute to the design and development of the Life Cycle Assessment (LCA) system; b) Support
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virtual or augmented reality, 3d digitization and rendering, human-computer interaction and user-centered design VII.II- I – In the evaluation of the interview, candidates' performance will be assessed
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on the development of methodologies and techniques of Evolutionary Computation and Machine Learning. V - Initial grant duration: 3 months V.I - Renewal Possibility: Possibily renewable VI - Funding and financial
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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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–5): selection of relevant climatic variables and application of statistical modelling and/or machine learning techniques to predict risk. 3) Preliminary validation of the predictive model using
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attributed by FCT, I.P. in the country) (https://www.fct.pt/wp-content/uploads/2026/03/Tabela-de-Valores-SMM-2026.pdf ). To this value is added the voluntary social insurance corresponding to the first level
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or related field;* Solid knowledge in machine vision and deep learning (e.g., TensorFlow, PyTorch, OpenCV); Experience in Python programming (focus on libraries for data analysis and AI); Previous
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Degree or equivalent Research FieldManagement sciencesEducation LevelBachelor Degree or equivalent Additional Information Website for additional job details https://www.cesam-la.pt/en/calls/research-grant
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C644914747-0000023 funded by funded by Recovery and Resilience Plan (RRP) https://recuperarportugal.gov.pt/ and Next Generation EU European Funds Application submission from 20-Feb to 06-Mar-2026 WHO WE