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. • Experience in investigating neuronal circuits with 2-photon imaging, optogenetics and in vivo electrophysiology. • Experience and Engagement in public outreach. • International working experience outside
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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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, computer vision, image processing, visualization, virtual, mixed and augmented reality, and machine learning for visual computing. About us Graz University of Technology is the longest-established university
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: Letter of motivation and academic CV Organisational Unit Inverse problems and mathematical image processing is one of the research areas at the Department of Mathematics and Scientific Computing, which is
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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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in 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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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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tasks general anti-discriminatory understanding and the willingness to further improve these skills Desired qualifications knowledge of image or signal processing, spectral analysis and linking scientific
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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