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research and teaching interests align with one or more of the following critical areas: Computer Architecture – including In-/near-memory or in-/near-storage processing, circuit/technology impacts (e.g., 3D
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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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programs place the university at the center of New York’s cultural and intellectual life. Connections working at The New School More Jobs from This Employer https://main.hercjobs.org/jobs/22078368/assistant
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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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, 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