210 machine-learning-"https:" "https:" "https:" "https:" "https:" "The University of Edinburgh" uni jobs in Portugal
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of prospective Life Cycle Assessment (LCA) and circularity assessment methodologies for biobased systems. - Participate in meetings with companies and partners involved in the HE ESCIB project (https
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on the platform. The platform is available at the following address: https://concursos.fa.ulisboa.pt IX. Application formalisation Under penalty of exclusion from the competition, the application must be
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on the platform. The platform is available at the following address: https://concursos.fa.ulisboa.pt IX. Application formalisation Under penalty of exclusion from the competition, the application must be
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a strong background in advanced computing and data science, machine learning, or in a related field, with expertise in monitoring data reliability, quality assurance, and AI modelling techniques
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, with the candidate(s) being exempt from paying the fee until the final ranking. More information available at: https://www.uc.pt/academicos/graus/reconhecimentos. ; The failure to present
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, according to the table of values for scholarships awarded directly by FCT, I.P. in Portugal (http://alfa.fct.mctes.pt/apoios/bolsas/valores ). VIII. Selection methods: the following criteria will be applied
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and will be published on the website https://www.rio.ucp.pt . Candidates will be notified by email once this list has been made available. 8. Preliminary Hearing and Final Decision Deadline After
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the terms of the Code of Administrative Procedure. 12. Submission of applications: The applications must be exclusively submitted through the web page of this opening (https://sigarra.up.pt/fcup/pt
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website: https://www.apply.up.pt ; (Ref. BOLS-FLUP-26-5). 11.3. The application must be accompanied by documents proving the conditions set out in this Notice, namely: Candidate's curriculum vitae
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computer vision to analyze photos and thermal images. Objectives include data collection, improving available degradation models, new machine learning-based classification and risk assessment methods, and