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per week) PhD-Position: Machine Learning / Medical Imaging (m/f/x) (with immediate effect). This position is offered for a duration of 3 years. Join the AICARD Research Project “Transforming Cardiac
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reconstitution, including membrane systems Preparation, documentation, and quality control of key reagents Work with S. cerevisiae and tardigrades—the most resilient animal on Earth Support for imaging workflows
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data processing chain - from image capture, image processing/computer vision to image content analysis - using both traditional and modern machine learning and AI methods.
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Independent research and publication activities in the field of applied mathematics Participation in existing research projects and development of new research projects in the fields mathematical image
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Responsibilities Femtosecond laser spectroscopy of molecules and aggregates inside superfluid helium nanodroplets Implementation of a Timepix3 event-based imaging detector to enable 3D momentum reconstruction Time
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close-range photogrammetry (e.g., using drone and terrestrial LiDAR images) and advance the research field of photogrammetry, considering computer vision and artificial intelligence methods. Air
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to express yourself both orally and in writing. • Computer literacy (MS-Office; Imaging Software). • Basic experience in academic writing. • Didactic competences / experience with e-learning
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writing. • Computer literacy (MS-Office; Imaging Software). • Basic experience in academic writing. • Didactic competences / experience with e-learning. • Excellent command of written and spoken
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experiments, as well as for its applications in medical imaging. For that, it collaborates with MedAustron, an ion cancer therapy and research center. Within this collaboration, we design and develop ultra-fast
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enhancement methods to be coupled to model-free analysis of molecular dynamics simulations. This includes work in the biochemical wet-lab as well as with prototype NMR spectroscopy and computational tasks. You