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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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independent judgment in problem solving, remain objective and represent differing points of view. Preferred Qualifications Experience with Oracle cloud based software or other ERP systems. Experience with
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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 programming skills in Python, PyTorch
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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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, 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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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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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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., 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