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. Develop multimedia and/or computer based interactive instruction applications and material that include such elements as moving video, sound, computer animation, and text for faculty use in classes, as
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mechanics, aerospace structures, laminated composite materials, computational mechanics, machine components design, aerodynamics, computational fluid dynamics, aircraft design and aircraft optimal design. To
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23 Feb 2026 Job Information Organisation/Company Instituto Politécnico de Setúbal Research Field Engineering » Computer engineering Researcher Profile First Stage Researcher (R1) Positions PhD
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friendly team you will also receive: Working daily allowance for food and drinks* Free car parking (where available) 25 days holiday plus bank holidays (increasing with length of service) Generous pension
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application of statistical Machine Learning tools. WORK PLAN Collaborate in the following tasks of the project: a) Contribute to the design and development of the Life Cycle Assessment (LCA) system; b) Support
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. An understanding of radiation detector theory and the ability to troubleshoot radiation detection systems to the component level. Excellent interpersonal, written, and oral communication skills. Ability to function
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concept sketches for approval prior to final painting Create original, high-quality painted artwork (canvas, framed piece, or selected medium) Incorporate meaningful elements (symbols, campus imagery
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round Details This project aims to develop a non-invasive brain-machine interface (BMI) that allows a user to direct a semi-autonomous robot to perform different tasks through brain signals
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Engineering at NTNU, where computational mechanics, advanced finite element modelling, and artificial intelligence meet. As a PhD candidate, you will work at the forefront of nonlinear simulation, contributing
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Instituto de Ciência e Inovação em Engenharia Mecânica e Engenharia Industrial | Portugal | 23 days ago
conditions: Scientific area: Bachelor’s Degree in Systems Engineering. Work plan: Model-based digital twins supported by physics-informed machine learning for multiphysics modeling. 1. Grant duration and