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Programa Temático Inovação e Transição Digital (COMPETE 2030), under Fundo Europeu de Desenvolvimento Regional (FEDER), with the reference COMPETE2030-FEDER-00386800, under the following conditions
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by the grant. Non-degree-granting courses are defined as those referred to in subparagraph e) of paragraph 3 of Article 4 of Decree-Law No. 74/2006, in its current wording, provided that, under
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for this grant: Requirement 1: - Be a student enrolled in a doctoral program in the area of Materials science, Machine Learning computational science, Coating and surface engineering a requirement to be duly
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Bursary E S Hills Memorial Scholarship Application is required. Check eligibility Key scholarship details Application status Not open yet Applications open 26 Jan 2026 Applications close 8 Mar 2026
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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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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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Associação do Instituto Superior Técnico para a Investigação e Desenvolvimento _IST-ID | Portugal | 3 months ago
22 Jan 2026 Job Information Organisation/Company Associação do Instituto Superior Técnico para a Investigação e Desenvolvimento _IST-ID Department DRH Research Field Engineering » Civil engineering
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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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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
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for applications for one research grant within the framework of project ISA4RL - Integrating Instance Space Analysis with Auto-Reinforcement Learning for Adaptive Algorithm Selection and Configuration