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effectively Experience in medical imaging and/or radiotherapy research Strong interest in translational AI with potential impact on patient care Highly Desirable Experience with 3D medical image segmentation
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languages; experience with GPU programming (e.g., CUDA) is highly desirable. Background in optimization, image-guided radiotherapy, medical imaging, or computational modeling. Experience with treatment
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northern Sweden create enormous opportunities and complex challenges. For Umeå University, conducting research about – and in the middle of – a society in transition is key. We also take pride in delivering
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optimization, image-guided radiotherapy, medical imaging, or computational modeling. Experience with treatment planning systems, ultrasound imaging, or brachytherapy is preferred but not required. Demonstrated
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the project, we will use large-scale medical images primarily from Denmark, to build domain specific large vision models for radiotherapy tasks, including image segmentation, dose prediction and treatment
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countries that have RT. The project aims to design and prototype a radiotherapy treatment system tailored to challenging environments http://cerncourier.com/a/how-to-democratise-radiation-therapy
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therapy combined with standard treatment can extend patient survival by 10–12 months. We have also demonstrated that radiotherapy induces reactivation of HCMV in approximately 50% of patients, placing
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on this tradition, the program is now positioned to lead the next era of FLASH and ultra-high dose rate radiotherapy research, leveraging decades of excellence in both biological discovery and technological
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therapy, micro-dosimetry, scintillating dosimetry, ultra-high dose-rate dosimetry for protons and/or electrons, accuracy in radiation measurement, AI-integrated high-resolution imaging systems, and the