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) Application and further development of deep learning methods for automated object recognition and classification in point clouds and 3D data Establishment of a data processing pipeline for the efficient
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Recognition, or text localization Experience with LiDAR and point clouds or other 3D work Comfortable working in a Linux environment Experience with GIT/source control ADDITIONAL APPLICANT INFORMATION
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" Tumor viscoelasticity as a central player in glioblastoma treatment - towards mechanopharmacology". As part of the experimental work, the tasks will include: Development of 3D hydrogels with controlled
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combination of education and relevant experience. 3+ years of experience training and evaluating deep learning architectures such as Transformers or U-Nets, particularly on image or point cloud data. Strong
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, Cloud Computing, Cryptography, Satellite Systems, Vehicular Networks, and ICT Services & Applications. Your role Are you passionate about cutting-edge research in Computer Vision and Artificial
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machine coding. Augmented and virtual reality applications, 360° video, point clouds, and advanced representations such as Gaussian Splatting require a rethinking of compression models to take into account
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heterogeneous geospatial data such as LiDAR point clouds, aerial orthophotos, street‑level imagery, and map/cadastral information. A central requirement is topological correctness—watertight, manifold meshes
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model Assists the faculty mentor to program the industrial robot to acquire stereo images of objects from different perspectives using OpenCV libraries Generates 3D point clouds from each set of images
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., vibration, current, voltage), analog and digital signal processing circuits, microcontrollers or SoCs, and power management systems. The board will be optimized for industrial environments, addressing
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inspection – applying AI to point clouds and meshes for defect detection. Additional research topics, combined with the bullets above, can be based on the applicant’s background and research interests