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and technology. Desirable (not essential): Research experience in sports medicine and technology (e.g. publication or final year project). Programming skills in MATLAB or Python. Application Procedure
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computing. These include computer graphics and geometry processing, computer vision and image processing, visualization and visual analytics, augmented and virtual reality, machine learning and deep learning
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focus on the medical image processing aspect of the Birth4Cast simulator by researching and developing automated image segmentation procedures to extract the pelvic floor muscle complex and the fetal head
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Max Planck Institute for the Structure and Dynamics of Matter, Hamburg | Hamburg, Hamburg | Germany | about 2 months ago
Job Offer from October 20, 2025 The International Max Planck Research School for Ultrafast Imaging and Structural Dynamics in Hamburg, Germany, offers a structured PhD program focusing on ultra-fast
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will also work closely with our industrial partner on process engineering for a scalable prototype facility and product output testing. The successful PhD student will be supervised by Prof Anh Phan from
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its dependency on the pre-fire forest structure and management practices in Fennoscandian boreal forests. Work includes e.g. developing methods to assess burn severity and fuel structure, processing
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singing exercise, analyzing song using sophisticated bioacoustics analysis methods, muscle physiology, immunohistochemistry and confocal imaging. The Vocal Neuromechanics lab is embedded in the Sound and
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, you will have experience with acquisition and processing of tomographic images, rock mechanics, machine learning and/or numerical modelling. Given the highly diverse nature of the research groups
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strategy, the processing of sensor data (laserscans, images, pressure, etc.), as well as the reactive control of robotic arms. In order to apply for this position, the candidate should possess in-depth
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for deployment and operation on a real-world quantum network prototype, build by the Quantum Internet Alliance (QIA) collaboration. The successful candidate enjoys experimenting with different approaches, and is