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of Marine Technology at NTNU has a vacancy for a PhD Candidate in Deep Learning enhanced FSI modelling of Multi-modular Floating Structures. The position is part of the AIMOS project (Artificial Intelligence
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techniques, or ontology alignment algorithms. - Solid grounding in software engineering practices: UML modelling, simulation, and testing under ISO/IEC/IEEE 29119. - Strong technical writing, documentation
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curation workflows, or handling noisy, imperfectly labelled historical data. *Practical knowledge of software engineering best practices, containerised deployment, or scalable data architectures
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Researcher Profile First Stage Researcher (R1) Positions PhD Positions Application Deadline 2 Sep 2026 - 23:59 (Europe/Copenhagen) Country Denmark Type of Contract Temporary Job Status Full-time Hours Per Week
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software engineering skills to the development of data-driven models and digital twin based software solutions and deploy them as services. You will be responsible for producing software documentation and
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mathematics and hands-on engineering. Historically, it has been instrumental in many areas, from the early development of telecommunications to the space race. Today, driven by the need to engineer ever larger
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highly qualified talent. We look for researchers from diverse academic backgrounds to contribute to our projects in areas such as: Network Security, Information Assurance, Model-driven Security, Cloud
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datafil som lagres på datamaskinen, nettbrettet eller mobiltelefonen din. En cookie er ikke et program som kan inneholde skadelige programmer eller virus. Hvordan nettsiden bruker cookies Cookies er
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. Experience with finite element software development. Experience with machine learning and data-driven modelling. Experience with high-performance computing. Previous scientific publications. Qualification
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-month position is funded by the Engineering and Physical Sciences Research Council (EPSRC) as part of the pioneering project "Vascular Computational Modelling in Chronic Kidney Disease (VASCO-CKD