197 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" "https:" "UCL" "UCL" Master scholarships
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. The publicity rules are available on the FCT website, as well as on the websites of the funding Operational Programmes, when applicable. The use of the FCT logo available at http://www.fct.pt/logotipos/ is
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jury decisions must be justified, recorded in minutes, and published on https://apply.uc.pt/ . VII.VII - Jury Composition: President: Licínio Gomes Roque Effective Members: Jorge Carlos dos Santos
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Associação do Instituto Superior Técnico para a Investigação e Desenvolvimento _IST-ID | Portugal | about 1 month 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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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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of Research Grants of NOVA.id.FCT – Association for Innovation and Development of FCT; Regulation of Research Grants of the Foundation for Science and Technology, I.P. in force (https://www.fct.pt/apoios/bolsas
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allowance amount: The grant stipend amounts to 1309,64€ according to the table of values of the grants awarded directly by FCT, I.P. in the Country (https://www.fct.pt/apoios/bolsas/valores ). The payment
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Requirements Research FieldBiological sciencesEducation LevelMaster Degree or equivalent Additional Information Website for additional job details https://www.cesam-la.pt/en/calls/research-grant-under
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goreti.pereira@ua.pt Requirements Research FieldChemistryEducation LevelBachelor Degree or equivalent Additional Information Website for additional job details https://www.cesam-la.pt/en/calls/research-grant-under
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Associação do Instituto Superior Técnico para a Investigação e Desenvolvimento _IST-ID | Portugal | 3 months ago
, reference no. 2023.18249.ICDT, financed by national funds through FCT/MCTES (PIDDAC Workplan: Development of methodologies and machine learning algorithms for the detection of anomalous behaviors in flow rate
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vision based object detection tools, and reinforcement learning techniques. Additional Information Benefits Monthly Maintenance Allowance: €1,309.64 Funding Entity: Instituto Superior Técnico (IST