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candidate is a strategic, collaborative and results-oriented leader who can operate in a complex, multi-stakeholder environment and who shares the NRC’s core values of Integrity, Excellence, Respect and
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Article 12 of the Regulations for Grants of INESC TEC, while the second phase comprehends the Individual Interview (EI). All factors are evaluated on a scale of 0 to 100, taking into account the applicants
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on the criteria referred to in Article 12 of the Regulations for Grants of INESC TEC, while the second phase comprehends the Individual Interview (EI). All factors are evaluated on a scale of 0 to 100, taking
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TEC. 2. OBJECTIVES: - Broadening knowledge of the state of the art in the specific scientific field related to the fellowship; - Developing models and supporting the implementation of multi-aspect use
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scale of 0 to 100, taking into account the applicants' merit, suitability and conformity with the preference factors. The weight of the AC factors are as follows: Academic Qualifications (FA, 40
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; Experience in the application of analytical techniques for the characterisation of historical and archaeological metallic materials, namely X-ray fluorescence (XRF) and multi-collector inductively coupled
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points); b) Publications in the area of artificial intelligence, machine learning, computational simulation and multi-agent systems (maximum 5 points); c) Research experience in the project area (maximum
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the second phase comprehends the Individual Interview (EI). All factors are evaluated on a scale of 0 to 100, taking into account the applicants' merit, suitability and conformity with the preference factors
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for a research grant within the framework of the project H2SYMBIOTIC - Multi-Sector Hydrogen Integration for Decarbonisation and Circularity, with nr. 25502 and operation code at the Funds Platform