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- NTNU - Norwegian University of Science and Technology
- NTNU Norwegian University of Science and Technology
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on developing probabilistic latent-variable methods for large and structured biological data, with applications in genomics, spatial transcriptomics, and fluorescence imaging. High-dimensional and structured
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of three national centres funded through the Norwegian Research Council’s TRANSPORT 2050 programme and brings together leading Norwegian research institutions and transport agencies to develop new knowledge
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computational image analysis, computer vision and machine learning. The aim is to develop robust and standardized methods to link structural, mechanical and biological properties to biomaterial performance and
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on developing probabilistic latent-variable methods for large and structured biological data, with applications in genomics, spatial transcriptomics, and fluorescence imaging. High-dimensional and structured
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develop quantitative methods to estimate effects on infrastructure degradation, maintenance needs, operational risk, punctuality and costs. The aim is to develop and validate a practical, transparent
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other components. The PhD candidate will link TrainGate detections and early warnings with maintenance, incident, operational and cost data and develop quantitative methods to estimate effects
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Develop, implement and train INR models for MRI time-series data Analyze functional MRI data of the spinal cord Present research findings in written form through academic publications Present research
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knowledge for a better world. You will find more information about working at NTNU and the application process here. About the position As agile development scales to larger, more complex organizations
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of the position Simulate MRI data and model disturbances arising from various physical sources Develop, implement and train INR models for MRI time-series data Analyze functional MRI data of the spinal cord Present
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development and be an attractive and inclusive place to study and work. ... (Video unable to load from YouTube. Accept cookie and refresh page to watch video, or click here to open video) PhD position in