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Deadline 16 May 2025 Financing yes Type of Position Full PhD Working Language English German Required Degree Bachelor Master Areas of study Applied Computer Science, Bioinformatics, Software Engineering
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Project Overview This PhD project is part of an Innovate UK-funded research programme focused on developing a novel ammonia-fueled engine and generator set (genset) demonstrator for harbour and
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this initiative, 15 early-stage doctoral candidates (DCs) will be trained through a comprehensive, interdisciplinary program spanning material science, device physics, computer architecture, hardware prototyping
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this initiative, 15 early-stage doctoral candidates (DCs) will be trained through a comprehensive, interdisciplinary program spanning material science, device physics, computer architecture, hardware prototyping
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this initiative, 15 early-stage doctoral candidates (DCs) will be trained through a comprehensive, interdisciplinary program spanning material science, device physics, computer architecture, hardware prototyping
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controlled via structural phase transitions or external fields. The successful candidate will develop and apply a range of theoretical and computational methods based on first-principles electronic structure
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Materials Science and Engineering (PhD programme in Materials Science and Engineering - NTNU ) within three months of your employment contract start date, and that you participate in an organized doctoral
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cross-layer defenses that ensure secure and efficient AI model development at scale. Information about the division The department of Computer Science and Engineering is strongly international, with
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information theory. An ideal candidate would also have knowledge of quantum mechanics of complex systems. Formal hiring requirement is a master degree in physics, computer science, or an equivalent degree
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(CAD) since 2016 and CT- Fractional Flow Reserve (CT-FFR) as a second line test since 2017. In 2018 a national health technology programme funded CT-FFR utilisation with the aim of improving patient