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Field
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when using closed, proprietary models, where model weights, training data, and internal representations are inaccessible. The PhD project will therefore investigate how trustworthy agentic AI systems can
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interest in space and space research Behavioural competencies Education You should have recently completed (within five years), or be close to completion of a PhD in microelectronics and radiation effects
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-pulse laser micromachining facilities to develop crack-free laser texturing strategies for ceramic materials. Establish predictive models linking laser processing conditions to feature geometry and crack
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candidate with a PhD degree in computer science, physical chemistry, chemical physics, theoretical physics, or a related field, with a strong background in training GNN-based ML predictive models (Equiformer
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Stage Researcher (R1) Positions PhD Positions Application Deadline 21 Sep 2026 - 23:59 (Europe/Oslo) Country Norway Type of Contract Temporary Job Status Full-time Is the job funded through the EU
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4th October 2026 Languages English English English The Department of Information Security and Communication Technology has a vacancy for PhD Candidate in Modelling and Executing Cascading Effects
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the position We are seeking a highly motivated PhD candidate to investigate cascading cyber effects, cyber resilience, and advanced cyber range modelling. The research combines simulation, software
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solutions to ensure usability, scalability, accuracy, and executive relevance. Develop and implement predictive analytics and workforce scenario models to assess the impact of attrition, retirement
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solutions for offshore wind turbines, enabling to enhance their structural awareness, real-time reliability assessment, and predictive maintenance decision support through integrated sensing, modelling, and
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analysis, cell-state and cell–cell communication analysis, and predictive modeling. Lead secondary projects involving single-cell RNA sequencing and spatial transcriptomics. Perform raw-data processing