Sort by
Refine Your Search
-
Category
-
Program
-
Employer
-
Field
-
-enhanced automation of transmission electron microscopy imaging and spectra acquisition, developing AI protocols based on ML, DL and computer vision within the project EDISON. Main Tasks and responsibilities
-
on AI-enhanced automation of transmission electron microscopy imaging and spectra acquisition, developing AI protocols based on ML, DL and computer vision within the project EDISON. Main Tasks and
-
++. Experience with Machine Learning and Deep Learning frameworks (TensorFlow, PyTorch, Keras). Knowledge of Edge Computing and embedded systems (Nvidia Jetson Nano, Raspberry Pi). Experience in computer vision
-
%) Completion of the Final Degree Project (BS) and/or Master's Thesis in Computer Vision, Image Processing, Machine Learning (including Deep Learning), Demonstrable work experience as a programmer in any of
-
systems, robotics, machine learning, computer vision, natural language processing, biometrics, medical imaging, social computing, and AI hardware. CASIA is the first national research institution to carry
-
to the theme of the project that motivates this hiring: Computer graphics, virtual worlds, procedural generation of 3D content, post-production. Basic knowledge of machine learning, computer vision, or image
-
Skills/Qualifications Technical Competences: Autorefraction technology and vision tests. Optical instruments: cameras, lenses, lasers, mirrors, etc. Optometric clinical measurement instruments: automatic
-
model of a PCB from multiple images of it. Reconstruct the point cloud that makes up the PCB. Design an artificial vision system that, using Deep Learning , is capable of accurately classifying electronic
-
Job title: DEEPTRACK: Animal tracking and behavior analysis with Computer Vision and Deep Learning techniques. Research line / Scientific-technical services: Information and communications technologies
-
… Requirements Research FieldPhysics » OpticsEducation LevelBachelor Degree or equivalent Skills/Qualifications Technical competences: Experimental systems: tech of auto-refraction and tests of vision. Algorithms