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Associação do Instituto Superior Técnico para a Investigação e Desenvolvimento _IST-ID | Portugal | 6 days ago
, promoting trustworthiness. Four research profiles are available under this context: Profile 1 (P1) – Development of methodologies based on graph neural networks and foundation models to integrate multiple
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published on https://apply.uc.pt/. ; VII.IX - Jury Composition: President: Catarina Helena Branco Simões da Silva Effective Members: Hugo Ricardo Gonçalo Oliveira; Jacinto Paulo Simões Estima Alternate
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for 3 months, starting 1 April 2026, in exclusivity, eventually renewable in accordance with applicable legislation and depending on project execution and financing. The hiring process will be ruled by
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, of August 16, 2018. For getting more information about this, we suggest consulting the DGES portal (http://www.dges.gov.pt ). It may be waived to present it during the application phase for the support in
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attending an academic Bachelor’s degree in the scientific field mentioned above. Knowledge or experience (preferred) on machine learning or computer vision techniques, and interest in developing such skills
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. Collection and processing of life cycle inventory data and modelling in SimaPro, enabling the quantification of environmental impacts and the identification of improvement opportunities. Data validation and
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minutes, and published on https://apply.uc.pt/ . VII.IX - Jury Composition: President: Luís Alberto Proença Simões da Silva Effective Members: Aldina Maria da Cruz Santiago, Carlos Alberto da Silva Rebelo
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on the score of their academic qualifications. VII.VIII - All provisional and final jury decisions must be justified, recorded in minutes, and published on https://apply.uc.pt/ . VII.IX - Jury Composition
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decisions must be justified, recorded in minutes, and published on https://apply.uc.pt/ . VII.VII -Jury Composition: President: Cláudio Manaia Nunes Effective Members: Maria Isabel Lopes Soares eRui Fausto
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environments such as the INCD infrastructure https://rnca.fccn.pt/incd/ or equivalent (30%); Proven experience in using management and monitoring platforms for the life cycle of large language models, such as