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learning has strong potential for computer vision, from hyperbolic image segmentation [2] to hyperbolic tree embeddings [3] and hyperbolic vision-language models [4,5]. [1] Nickel, Maximillian, and Douwe
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and master students. Where to apply Website https://www.academictransfer.com/en/jobs/356604/postdoc-in-ai-for-cardiovascula… Requirements Specific Requirements You have a PhD degree in medical image
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simulations linking chemistry, processing, and performance. Integrate experimental data from the experimental PhD’s for model validation. Collaborate with experimental PhDs and Canon Production Printing
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-tech, state-of-the-art micromechanical experimental analysis of microscopic wear of silicon during wafer handling? We are looking for an outstanding and enthusiastic PhD candidate, with a strong
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an interdisciplinary team of experts in biomechanics, anatomy, medical imaging, clinical sciences, and sports coaching. This PhD is ideally suited for candidates who enjoy hands-on experimental work, working with people
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unprecedented real-time visualisation of these processes, yet systematic investigation across diverse rock types and integration with predictive models remains lacking. In this PhD study, you will be performing
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/Julia) are essential. Ideally, you will have experience with acquisition and processing of tomographic images, rock mechanics, machine learning and/or numerical modelling. Given the highly diverse nature
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We invite applications for two fully funded PhD positions in the field of experiments and diagnostics of low-temperature electrolysis of iron oxide for iron electrodeposition . These positions
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performance programs. As a PhD candidate in this project, you will: Investigate muscle physiology using advanced techniques such as MRI-DTI, ultrasound imaging, muscle stimulation, and electromyography (EMG
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protocols and have affinity with medical topics. You have knowledge of CT dosimetry and radiation physics. You have good experimental skills and experience with image processing. You have some knowledge in