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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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, 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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the interview are as follows: a) Technical and scientific knowledge in the areas of research at CICS.NOVa.UÉvora in which the scholarship is available (50%): 1. No knowledge – 0 2. Reasonable knowledge – 50 3
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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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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
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on the FCT website, as well as on the websites of the funding Operational Programs, where applicable. The use of the FCT logo, available at http://www.fct.pt/logotipos/ , as well as the logos of Fundação “la
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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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to the following weights and criteria: - Criterion 1 - Motivation and interest (30%) - Criterion 2 – Knowledge and profile appropriate to the functions to be developed (40%) - Criterion 3 - Ability to express
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demonstrate experience and skills in: a) Knowledge of and experience in the use of qualitative and/or quantitative research methodologies, demonstrable, for example, through co-authorship of publications