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Vacancy: Yes Description: Course number and title:MIE320H1 - Mechanics of Solids II Course description: Three-dimensional stress transformation, strain energy, energy methods, finite element method
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for their final course assignment. Estimated course enrolment: 95 students Estimated TA support: 35-hours Class schedule: Lecture: Thursdays 2-5pm (in-person) TBC *The delivery method for this course is expected
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, vulnerabilities in isolated systems are analyzed to pioneer new research methods and train both students and professionals. More about cybersecurity research at LiU: https://liu.se/en/research/cybersecurity
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. The above hiring range represents the University's good faith and reasonable estimate of the range of possible compensation at the time of posting. Position Summary We are seeking a full-time Senior
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. In particular, he/she will be expected to :• Select and evaluate the most suitable approaches from the wide range of machine learning and computer vision methods available in the literature, with
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dentition and 3D topography; VL also pioneered the development of 3D topographic methods at PALEVOPRIM. Expected results Expected outcomes include estimating the strength of phylogenetic signal for various
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étude combinera questionnaires psychosociaux et entretiens qualitatifs afin d'explorer en profondeur les mécanismes sous-jacents. Les résultats attendus incluent une estimation précise du niveau
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23 Mar 2026 Job Information Organisation/Company Universidade de Coimbra Department Department of Mechanical Engineering Research Field Engineering » Electrical engineering Engineering » Computer
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19 Mar 2026 Job Information Organisation/Company UNIVERSIDAD DE LAS PALMAS DE GRAN CANARIA Research Field Engineering » Biomedical engineering Engineering » Computer engineering Researcher Profile
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Associação do Instituto Superior Técnico para a Investigação e Desenvolvimento _IST-ID | Portugal | 24 days ago
are the following: This grant aims to benchmark deep learning-based CAD-Free RGB(D) pose estimation methods for spacecraft applications (2 grants) This grant aims to develop robust MPC strategies based on two player