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UiO/Anders Lien 8th March 2026 Languages English English English PhD Research Fellow in Deep Learning for Medical Imaging and Multi-Modal Data in Cancer Research Apply for this job See advertisement
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radiation therapy. The primary aim of this research is to develop real-time target tracking and/or dynamic imaging algorithms for implementation within radiotherapy and medical imaging. Within our research
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on the developed models for agencies/commercial partners Supervise junior researchers and master students Job Requirements: Preferably PhD in Computer Engineering, Computer Science, Electronics Engineering or
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the Centre tackles this challenge through four ambitious research themes: Discovering new therapies for human heart failure Using advanced imaging and experimental medicine to understand disease
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. Working with manuscripts is not a pre-requisite, but they should be able to demonstrate building and publishing computer vision approaches across a variety of imaging domains. The role holder will work with
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. The position is placed in the Digital Signal Processing and Image Analysis group (DSB), Section for Machine Learning, Department of Informatics at the University of Oslo. The DSB research group has seven full
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, behavioural training, and neural circuit dissection techniques, as well as experience with in vivo electrophysiological recordings or imaging approaches with single-cell resolution. The postholder will be
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studies fundamental processes in endothelial cells driving cardiometabolic diseases including atherosclerosis, thrombosis and type 2 diabetes. In particular, the team interrogates the role of endothelial
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close connection with experimental data from live imaging and spatially resolved gene expression profiling. The work of the PhD fellow will be theoretical and computational in nature and will include
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2028 Background We are seeking a highly motivated Research Fellow to drive the underground infrastructure theme within the Quantum Technology Research Hub in Sensors, Imaging and Timing (www.quisit.org