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Theory, Image Forensics, Cyber-Physical Security, Machine Learning, and Emerging Fields in the Aforementioned Areas •Electronic Design Automation (EDA), Embedded System, Testing •Optoelectronic and
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success. Basic Qualifications: A PhD degree in electrical engineering, civil engineering, geoinformation science, or a related discipline A minimum of 4 years of applied experience Hands-on experience
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computational pathology, for example bioinformatics, biomedical engineering, biotechnology, computer science, image/signal processing, medicine, software engineering, statistics or related fields. A solid
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a multilingual environment. Required qualifications: Master's degree in Engineering (M.Sc. Eng.) or equivalent. Experience in handling and processing medical images. Experience in computer programming
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; Process monitoring; Image processing, machine vision, integration of sensors and vision systems in robotic applications CAD / CAE experience. Languages ENGLISH Level Excellent Additional Information
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Southern University of Science and Technology (Biomedical Engineering) | China, Nuevo León | Mexico | 8 days ago
Duration Fixed term Qualification PhD Sector Academia Apply now Save job Click to add the job to your shortlist Send job Job Details Join the Future of Biomedical Engineering at SUSTech in Shenzhen
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image analysis. The position offers opportunities to develop independent research projects, contribute to collaborative grant applications, and prepare for an independent academic or industry career in
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, and experience with image processing (MATLAB experience preferable). Staff webpage: https://www.nist.gov/people/david-deisenroth Testbed wepage: https://www.nist.gov/el/intelligent-systems-division
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Artificial Intelligence, Serious Games and Medical Image Processing, as well as training in Electronics and Computer Engineering during the same period. 11. The ten-year period referred to above may be
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expertise in artificial intelligence includes demonstrated strength in one or more of the following: machine learning; natural language processing; computer vision and image processing; deep learning