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for future transmission systems as systematic, scalable and routinely applicable as RMS-based studies are today. This PhD aims to develop the computational foundations for scalable, automated EMT-based
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observations and the current climate, so that we can describe the effects of climate change and the impact to the financial sector? Are you our new colleague? We are looking for a PhD candidate to develop AI
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. Research Grants Regulation); Decree-Law no. 66/2018, of August 16th (Legal regime for recognition of academic degrees and diplomas of higher education awarded by foreign higher education institutions). 8
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Education (DGES) for additional information on this matter: https://www.dges.gov.pt/pt/pagina/reconhecimento ^ The contracting of the research scholarship requires the candidate to provide enrollment in
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the position. Your work tasks You will develop and validate digital-twin and optimization methods for electrolysis systems, working both independently and collaboratively with the group and with academic and
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the rest of the EMLIT research team at least once every three weeks (a 40-minute train ride). Collaborate with the program’s three supervisors and two other junior researchers in the organization
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year for 3 years. The studentship is fully funded for 3 years. An extension of funding for a further 6 months is available, contingent upon the candidate completing 70 hours of teaching per year during
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Infrastructure? No Offer Description This is NTNU NTNU is a broad-based university with a technical-scientific profile and a focus in professional education. The university is located in three cities with
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of the technology, one of whose key areas (the subject of this postdoctoral position) is to design and develop innovative materials combining catalytic efficiency, electrical conductivity, and mechanical strength, in
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and simulation techniques are necessary to develop Urban Digital Twins able to manage this complexity and produce reliable predictions. The candidate will be requested to contribute to this research