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Recipient category: The open position is intended for candidates holding a master’s degree who, on the date of their hiring, prove their enrollment in one of the following courses: - PhD; - Master's
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information can be obtained at: https://www.dges.gov.pt/pt/pagina/reconhecimento?plid=374 Applications should be sent by email to: PhD. Jose Silva Renewable Energies Chair at the University of Évora e-mail
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hydrological data. The results of this research have real-world applications in groundwater and surface water modelling. In this research Masters project, the latest AI and KR (knowledge representation) concepts
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qualifications; Proof of student status for the course and the PhD degree, issued by the Academic Division of the Higher Education Institution in which you are enrolled; Proof of residence permit in Portugal
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Development and Mobility. Dr. Perchoux is a health geographer with a background in geography and a PhD in Public Health epidemiology awarded in 2015 from Sorbonne University and the University of Montreal. Her
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Faculdade de Ciências Médicas|NOVA Medical School da Universidade NOVA de Lisboa. | Portugal | 2 months ago
of Faculdade de Ciências Médicas|NOVA Medical School (FCM|NMS) from Universidade NOVA de Lisboa (UNL), under the scientific supervision of Gabriela Silva, PhD, as well as other locations necessary
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Technology (2019). At the time of the respective hiring, candidates must prove that they are enrolled in one of the following courses: PhD in Civil Engineering, or related fields; In a Course that do not
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: Curriculum Vitae; Certificates of qualifications; Proof of enrolment in a study cycle leading to the attainment of a PhD degree or in a non-degree course; Declaration, under honor commitment
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the Digital Systems and Intelligent Sensors group (DSIS). within the School of Electrical Engineering, Computing and Mathematical Sciences. DSIS endeavours to utilise technology to assist people with
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available in the further tabs (e.g. “Application requirements”). Programme Description The research and training programme focusses on the mathematical and algorithmic foundations of reliable AI along with