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supported by the SAILING project and will focus on developing advanced AI-enabled methods for uncertainty analysis and quantification to support high-fidelity IoE digital twins. The research will investigate
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Fotograf Morten Hjertø 30th April 2026 Languages English English English The Department of Ocean Operations and Civil Engineering has a vacancy for a PhD Candidate in AI-Enabled Uncertainty Analysis
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6th April 2026 Languages English English English The Department of Electronic Systems has a vacancy for a PhD Candidate in Trustworthy AI-Enabled Signal Analysis for Next-Generation Wireless Systems
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Digital. The research focuses on advanced signal analysis and machine learning methods that enable robust operation and service continuity in future wireless networks under challenging radio conditions. As
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these relate to methodological choices. BIG: Business Administration, Innovation and Governance. Candidates will be required to take a 5 ECTS credit course on fundamental concepts and discourses in business
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–brain axis, the project combines behavioral and physiological measurements with microscopic analysis of gut tissues. This integrated approach will reveal how enrichment impacts both body and brain with
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measurements with microscopic analysis of gut tissues. This integrated approach will reveal how enrichment impacts both body and brain with great relevance also to human health. While being a basic research
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conduct pig experiments, behavioural observations, behavioural tests, taking saliva samples for cortisol analysis, statistical analysis Collaborate closely with the PhD that will be hired at the School
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or above. Fluent oral and written communication skills in English. Programming skills in R, Python, or similar are essential. Previous experience with meta-analysis is desirable but not essential. Previous
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“Bayesian Enhanced Tensor Factorization Embedding Structure (BETTER)”, and this PhD project specifically aims at developing a unified, scalable, and interpretable framework for tensor analysis. Specifically