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1st Aug. 2026, or as soon as possible thereafter. The position is available for a period of 12 months, with the possibility of extension. In electronic engineering, Aalborg University is known worldwide
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. This PhD project aims to create advanced XCT workflows by developing Artificial Intelligence (AI) and Machine Learning (ML) tools to support imaging before the reconstruction phase. The research will focus
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Degree in Chemical Engineering, Materials Engineering, Chemistry, or similar combination of education and experience (Required) PhD Ph.D. in Chemistry, Chemical or Materials Engineering, or similar field
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Inria, the French national research institute for the digital sciences | Villeneuve la Garenne, le de France | France | 23 days ago
collaboration with the Berger-Levrault company. The candidate will be encouraged to propose analysis tools for developers and engineers, which can be included directly in the software development environment
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this issue, the FutureFlow project proposes to transfer concepts from software engineering—such as multi-fidelity modelling and model-switching—to hydrology. The objective is to build adaptive modelling
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9 Apr 2026 Job Information Organisation/Company Universidade de Vigo Department T14 Signal and Communications Theory Research Field Engineering » Other Researcher Profile Recognised Researcher (R2
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to overall technology strategy and help shape the company’s long-term product direction. Job requirements Background MSc/PhD in Electrical Engineering, Computer Engineering, or Computer Science (or equivalent
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Application deadline: All year round Research theme: Computational Mechanics/Applied Mathematics How to apply: uom.link/pgr-apply-2425 This 3.5-year PhD project is fully funded and home students
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adversaries who aim to manipulate the system to learn, do, or reveal something it isn’t supposed to. The Secure AI Lab consists of machine learning research scientists, machine learning engineers, and software
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to manipulate the system to learn, do, or reveal something it isn’t supposed to. The Secure AI Lab consists of machine learning research scientists, machine learning engineers, and software developers who work