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should possess: PhD/Ms/BSc in Computer Science, Artificial Intelligence, Electrical Engineering, or a related discipline. Strong research background in one or more of: Computer Vision Machine Learning Deep
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-scale turbulence Develop a numerical solver which numerically implements the newly derived theoretical frameworks using fundamental computer programming languages. The numerical solver will leverage
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for SHM and post processing techniques e.g. computer vision Experience in NLFEA of concrete structures Impact loading To be successful at shortlisting stage, please ensure you clearly evidence in your
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following requirements: Requirement 1: Be enrolled in a PhD programme in Electrical and Computer Engineering or Informatics Engineering, to be duly proven at the time of hiring. or Hold an academic degree and
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) will be required for this position Certificates/Credentials/Licenses PhD required in related field. Computer Skills Academic and research software relevant to job duties (GSAS II, OriginLab, https
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approaches (e.g., using R, NetLogo, or similar) Working knowledge of ecological (especially landscape ecology) research methodology and biostatistics Computer proficiency, including use of statistical software
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has a fixed-term opportunity for a Postdoctoral Fellow / Senior Research Fellow to contribute to world-leading research in continual learning, computer vision, multimodal foundation models, and
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enrolled in a PhD program - art. 6º, n.4 c) https://www.fct.pt/wp-content/uploads/2026/01/RBi_Republicado_2025.pdf or Non-degree programme – art. 6º, n. 4 a) https://www.fct.pt/wp-content/uploads/2026/01
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15 Jul 2026 Job Information Organisation/Company INESC TEC Research Field Computer science Engineering » Computer engineering Researcher Profile First Stage Researcher (R1) Application Deadline 29
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the following conditions: Scientific Area: Computer Science. Admission Requirements: Academic qualification: Master's degree in Computer Engineering, Computer Science, Electrical and Computer Engineering