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methods that can accurately model such processes remains an open and active research frontier. This PhD project is fundamentally about advancing that frontier, contributing new methods for generative
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must be formalized in the online application submission system, available on the FMUP website: https://sigarra.up.pt/FMUP/pt/CNT_CAND_GERAL.CONCURSOS_LIST (Ref. 2026/17, Pr. 415). 16.3. Applications
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of the Software Engineering unit . About the project This PhD fellowship is part of the national AI Centre for the Empowerment of Human Learning (AI LEARN). AI LEARN is a new Centre dedicated to the empowerment
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: LRGP (University of Lorraine – CNRS), LPSM (Sorbonne University – CNRS), the utility EDF R&D, and the process simulation software provider Fives ProSim. PHD DESCRIPTION: The PhD is part of Work Package 3
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science related discipline. Demonstrated competence in applied quantitative methods, including regression analysis, evidenced through formal coursework, a quantitative dissertation or project, or equivalent
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PhD studentship in Computer Science: From Formal Requirements to Specification-based Automated Testing for Safety-Critical Medical Device Software Certification Award Summary 100% fees covered, and
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of applications: 11.1. Applications must be submitted by 30th of march 2026 (local time – Lisbon). 11.2. Applications must be formalized through the online submission system available on the APPLY webpage: https
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. Research within LIG is organized into 5 focus areas: Intelligent Systems for Bridging Data, Knowledge and Humans, Software and Information System Engineering, Formal Methods, Models, and Languages
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Associação do Instituto Superior Técnico para a Investigação e Desenvolvimento _IST-ID | Portugal | 2 months ago
1.309,64 €, being the payment method by Wire Transfer. Eligibility criteria Admission Requirements: To be enrolled at a PhD. Holders of a Master’s degree in Architecture. A minimum of two years of experience
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written English, ability to work both independently and collaboratively. Additional qualifications Experience or coursework in one or more of the following areas is considered an advantage: formal methods