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The School of Mechanical & Aerospace Engineering (MAE) is a robust, dynamic and multi-disciplinary international research community comprising of world-class scientists and bright students. MAE
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Mechanical Engineering, Ocean Engineering, Electrical Engineering, Software Engineering, or related disciplines. You are expected to demonstrate knowledge and a track record in some of the following aspects
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degree (120 ECTS credits) (or equivalent qualifications) within Mechanical Engineering, Electrical Engineering, Energy Systems Engineering, or a closely related field Documented knowledge of relevant
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The School of Mechanical & Aerospace Engineering (MAE) is a robust, dynamic and multi-disciplinary international research community comprising of world-class scientists and bright students. MAE
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- the Norwegian Centre for Knowledge-driven Machine Learning at the University of Oslo invites applications for a doctoral research fellow in Machine Learning and Statistics. We seek a motivated researcher, who
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1. PhD degree in Photonics, Optical Engineering, Electrical and Electronic Engineering, Applied Physics, or a relevant field, with a strong background in integrated photonics, nonlinear optics
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, environmental earth science, physical geography or atmospheric science, within the last 5 years. Experience: The PDF will have knowledge either in hydrology, water resources engineering, physical geography
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be preferred. Requirements: PhD degree in Learning Sciences, Educational Technology, Human-Computer Interaction (HCI), Information Technology, AI, or a relevant field Demonstrated experience and
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nonlinear vibrations of complex structures. About you This position would suit a motivated candidate with a good background and degrees in Mechanical, Automotive Engineering, Aerospace Engineering, Materials
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14 Jul 2026 Job Information Organisation/Company SINGAPORE INSTITUTE OF TECHNOLOGY (SIT) Research Field Computer science Engineering Researcher Profile Recognised Researcher (R2) First Stage