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application process here. About the position The Department of Information Security and Communication Technology invites applications for a fully funded PhD position on AI-driven network operations for cloud
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SyMulDaM project involving the development of predictive models to quantify the integrity and durability of a nuclear power plant containment structure., within the mechanical engineering department
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-derived motor neurons and Drosophila models. Now, we need a curious and driven PhD candidate to help us analyze these samples using spatial multi-omics. This is a joint project between Prof. Albena
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–12): State of the art and system modeling This phase will focus on an in-depth literature review on mobility management in satellite and non-terrestrial networks, as well as AI-driven networking
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manufacturing systems including design/modeling/control of manufacturing systems, cyber-physical systems, applied AI, smart manufacturing and data-driven discovery/optimization, among others. Strong written and
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to test and compare strategies safely, calibrate models with real data, and support scenario-based decision-making. • Building data-driven models (e.g., forecasting, clustering/segmentation, learning-based
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14 Mar 2026 Job Information Organisation/Company Lunds universitet Department Lund University, LTH, Department of Automatic Control Research Field Engineering Researcher Profile Established
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and intelligent systems for industrial applications. Based within the School of Engineering and Architecture, IERG develops and applies cutting-edge analytics, modelling, and decision-support
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mouse models, in close collaboration with the Bentires Lab at the University of Basel. This PhD project is fundamentally driven by hands-on experimental in vivo mouse work; therefore, candidates must
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excellent attention to detail and a solid grasp of the OSI model. A passion for enhancing the employee experience through technology, with a user-centric approach to solution design and support. Proactive and