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to discuss the post informally, please contact Dr Yuanchang Liu () About you The ideal candidate will hold a PhD (or be close to completion) in Mechanical Engineering, Robotics, Marine Engineering, or a
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Aalto University is where science and art meet technology and business. We shape a sustainable future by making research breakthroughs in and across our disciplines, sparking the game changers
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candidates will have a PhD (or equivalent experience) in Computer Science, electrical engineering, or other related quantitative subject. They will have a strong understanding of computer science (hardware and
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the group. The planned investigations are primarily experimental in nature, but will proceed in close conjunction with insight from theory and simulations. The ideal candidate will hold a PhD in physics
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be successful in this role, we are looking for candidates to have the following skills and experience: Essential criteria PhD awarded in Electrical or Computer Engineering Knowledge about Deep Learning
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-time digital twin technology review to understand this technology and its recent development for electrical engineering application. Real-time simulation platform skills development including Typhoon and
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resolution, contemporary and historical warfare, gender, international relations, migration and borders, security studies, strategic studies, technology and violence. The Department is located within
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the following skills and experience: Essential criteria PhD in Mechanical Engineering or in an area related to Fire Safety Engineering* Good knowledge and research experiences in modelling lithium-ion
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technology review to understand this technology and its recent development for electrical engineering application. Real-time simulation platform skills development including Typhoon and SpeedGoat. Development
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for crafting simulation-ready computational anatomy models, incorporating tissue microstructure properties. This is an exciting opportunity to apply your expertise to large-scale real-world datasets, including