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application! We are looking for a PhD student in biomedical engineering with a focus on deep learning for medical images Your work assignments The position focuses on developing methods for federated learning
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student will work on data processing from the digital photosensors and image reconstruction for the PET scanner. The student will be involved in the hardware work on the photosensors as well. The same
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://vervaeke-lab.org/ ). The lab is located at the Division of Physiology, Institute of Basic Medical Sciences (IMB), at the University of Oslo. The position is funded for a period of 3 years and available from
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sensitive imaging and inference approaches to help guide diagnosis and treatment in cardiovascular patients. Project background Cardiovascular Magnetic Resonance (CMR) plays a central role in the non-invasive
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. They have led to a plethora of important downstream applications, such as image and material generation, scientific computing, and Bayesian inverse problems. At the core of these models are differential
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The PhD studentship will broadly explore development of cutting-edge AI solutions for image registration, anatomy segmentation, and immersive technology. The selected candidate will work with preoperative
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and image data processing. Specific knowledge related to neural network design, training, and optimization is required. You will be joining a group with core expertise in sensor data analytics from
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. It is questionable whether orthogonal frequency division multiplexing (OFDM) used in 4G/5G is still adequate for sub-THz/THz frequency bands due to complexity issues [4,5]. Howewer for the single
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A 3.5-year PhD position is available in the field of experimental nanoscience at surfaces and molecular-scale imaging of conjugated polymers in the group of Prof. Giovanni Costantini
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the Grid Communications and Security (GCS) Group in the Energy Sensing, Analytics, and Communications (ESAC) Section, Electrification and Energy Infrastructure Division (EEID) at Oak Ridge National