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- Associação do Instituto Superior Técnico para a Investigação e Desenvolvimento _IST-ID
- Faculty of Sciences of the University of Porto
- Instituto Superior de Agronomia
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- FEUP
- Instituto de Telecomunicações
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Institutions). Work place: The work will be developed in the Department of Chemistry and Biochemistry, Faculty of Sciences of the University of Porto (FCUP), under the guidance of Prof. Victor de Freitas, Prof
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-vision algorithms with edge-computing processing for the automatic detection of non-conformities. Machine-learning techniques will be applied to optimize cutting parameters, and the module will be
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of Prof. Susana Soares, Prof. Luis Cunha and Elsa Brandão. Grant duration: Initial duration of 12 months, with beginning on 01/02/2026, eventually renewable up, but not exceeding the end date of the project
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developed at the premises of Instituto de Telecomunicações at University of Aveiro, under the supervision of Prof. Telmo Reis Cunha. Duration: 12 months, with the possibility of renewal. This type
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Associação do Instituto Superior Técnico para a Investigação e Desenvolvimento _IST-ID | Portugal | about 1 month ago
the replicator equation. The focus will be on understanding the principles and number of coexisting species, and the quality of their dynamics. The candidate(s) will also apply data fitting algorithms/machine
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%). Composition of the Selection Jury: President: Doutora Maria Helena Guimarães 1st Member – Doutora Maria Rivera Mendez 2 Member – Prof. Doutora Isabel Ferraz de Olveira 1st Substitute – Prof. Doutora Maria de
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Engineering Section of the Instituto Superior de Agronomia, with occasional trips to experimental trials or meetings outside, under the scientific supervision of Prof. Teresa Afonso do Paço. 3. SUBMISSION
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Associação do Instituto Superior Técnico para a Investigação e Desenvolvimento _IST-ID | Portugal | about 17 hours ago
high total charge. Multi-petawatt facilities enable acceleration of hundreds of nC to energies of several GeV. The effects of laser pulse duration will enable different spatial energy distribution which
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the project team members of the consortium, to optimize the applicability of the developed sensors, microfluidics and integrated systems SCIENTIFIC SUPERVISION The PhD thesis will be supervised by Prof. João
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of curricular units 3 - Knowledge of algorithms and artificial intelligence models applied to the prediction of student dropout (e.g., GPT, decision trees, k-NN, neural networks) 4 - Knowledge of techniques and