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10th June 2025 Languages English English English The Department of Information Security and Communication Technology has a vacancy for a PhD Candidate in Analysis of Security, Safety, and Liveness
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), Deep Neural Networks. Probabilistic Machine Learning and Time-series Analysis. Industrial applications of AI (energy, process industry, automation). Software development experience in teams. Programming
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on both meroplankton and benthos data to enhance the value and efficiency of long term time series analysis. The position is based in Bodø and will be available from January 2026. via Unsplash Qualification
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expertise, this may involve: Neurological data collection Neuropsychological assessment of young children (<3 years) Coordination and practical organization of study activities Data analysis using advanced
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epidemiology, causal inference, genetic epidemiology, and machine learning. As a PhD candidate in the project, you will: Actively participate in group meetings, design statistical analysis plans in collaboration
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compounds in collaboration and support with experienced radiochemists. The candidate will acquire and analyze PET/SPECT imaging data, perform kinetic modeling, and contribute to advanced image analysis
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on regional-scale modeling and simulation of subsurface flow and geomechanics, including associated numerical and computational methods. Topics may include upscaling, numerical analysis, and the design and
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analyses are required. An interest in, and preferably prior experience with, genomic analysis and bioinformatics is considered an advantage. We are looking for highly motivated, creative, and ambitious
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systems (RAS). You will be part of the Analysis and Control of Microbial Systems group (ACMS ), that is now integrated into the Microbial Biotechnology research group. We are passionate about conducting
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the Analysis and Control of Microbial Systems group (ACMS ), that is now integrated into the Microbial Biotechnology research group. We are passionate about conducting fundamental research to deepen our