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of mining wastes and scenarios, ii) map the distribution of geochemical patterns according to material type, and iii) identify the mineralogy of the phases hosting contaminant elements. Applicable Legislation
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to grant holders" (https://www.inesctec.pt/pagamento-propinas-bolseirosEN ) The grant holder will benefit from health insurance, supported by INESC TEC. 2. OBJECTIVES: 1. Implement a synchronized distributed
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Guimarães 1st Member – Doutora Maria Rivera Mendez 2nd Member – Prof. Doutora Isabel Ferraz de Olveira 1st Substitute – Prof. Doutora Maria de Belém Ferreira da Silva da Costa Freitas 2nd Substitute - Prof
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developed at the Department of Chemical and Biological Engineering of the Faculty of Engineering of the University of Porto (FEUP), under the scientific supervision of Prof. Adrián Manuel Tavares da Silva
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follows: curriculum evaluation (state of the study plan), interview, and knowledge test (written test), with respective weightings of 20%, 30%, and 50%. Composition of the selection Jury: Prof. David Manuel
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://www.dges.gov.pt/pt/pagina/recognition?plid=374 Applications must be sent by email to: Prof. Afonso Cavaco Cátedra Energias Renováveis da Universidade de Évora e-mail: catedraer@uevora.pt ANNEX I, ANNEX II, ANNEX
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to start on september 15,2025. 4. The ranking of candidates will be coordinated by Prof. Dr Fernando José Cebola Lidon and the jury will be made up of four DCT professors: Fernando José Cebola Lidon, Paulo
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the applicability of the developed sensors and magnetic skin in tactile sensors for advanced robotics. SCIENTIFIC SUPERVISION The work will be supervised by Prof. Susana Cardoso de Freitas. The candidate will be
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other locations necessary for implementation, under the scientific supervision of Prof. Doctor Mónica Moreira Rodrigues, School of Medicine and Biomedical Sciences (ICBAS), at the University of Porto (UP
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clinical data and machine learning algorithms. The main activities include: Data Processing: • Collection of historical patient data (demographics, clinical history, outcomes of interventions). Data cleaning