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hemocompatible coating strategies to improve membrane–blood interactions. - Model and optimize membrane performance using computational tools, machine learning, and artificial intelligence Work Plan - Synthesis
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of Higher Education Institutions. Preference factors: ▪ Previous experience in Artificial Intelligence and Machine Learning applied to energy systems or microgrids.; ▪ Previous experience in MATLAB/Simulink
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implemented in advanced fire simulation software. Develop accurate, high-resolution forest and wildfire mapping techniques from available satellite data. Using Artificial Intelligence for predictive analysis
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Intelligence methods. Preferred profile: Experience on research work involving the development and application of Artificial Intelligence methods will be valued. 3. DURATION The duration of the grant is 6
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, or Environmental Engineering or related fields. Knowledge in systems engineering, artificial intelligence and programming is advantageous Additional Information Benefits Monthly Maintenance Allowance: €1,851.00
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on artificial intelligence techniques, namely machine learning and deep learning; (3) analysing mathematical models applicable to renewable energy generation technologies and electrical energy storage systems; (4
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be obtained in: https://www.dges.gov.pt/en/pagina/degree-and-diploma-recognition . II. Preferential Requirements a) Demonstrated expertise in applying Artificial Intelligence to environmental and
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contract for an indefinite period, with a probationary period of five years, in the disciplinary area of Informatics, sub-area of Artificial Intelligence, at the Universidade Aberta (UAb), a public distance
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(Policy Briefs) and the general public (Stories). - Collaborate with other researchers, in particular with the researcher in the field of artificial intelligence and data recruited by CENSE. - Lead specific
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the period of the project, not exceeding the maximum period set by FCT for such grants. RENEWAL Renewable is subject to performance if the candidate is enrolled in a PhD program - art. 6º, n.4 c) https