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We are seeking a talented, organised and highly motivated individual to work as a post-doctoral research associate in the Department of Eye and Vision Sciences at the University of Liverpool funded
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intelligence Apply for this job See advertisement About the position Inland School of Business and Social Sciences , The PhD program Innovation in Services in the Public and Private Sectors (INSEPP) , invites
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strong mix of experimental and analytical skills, and the ability to communicate complex technical ideas. Qualifications: • A PhD in Electrical Engineering, Computer Engineering, Computer
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Australian National University | Canberra, Australian Capital Territory | Australia | about 13 hours ago
for uncertainty quantification in learned computer vision. The person should have a PhD in Computer Vision or a closely related field, and a demonstrated strong track record in this field. This should include
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, Social Robotics, Human Machine Interaction, Computer Vision and speech processing, multimodal signals processing. The candidate must also have strong programming skills and machine learning experience
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About the Opportunity We seek to hire a Postdoctoral Research Fellow (PRF) through the Northeastern University-Industrial Fellowship program with Forma, LLC. The PRF will be responsible
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teaching assistance as a guest lecturer. If you're ready to utilize your expertise and collaborate with a dynamic team, we invite you to apply. Minimum Required Qualifications Education: Appropriate PhD in
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Research Statement (maximum three pages), outlining a compelling long-term vision for a research program whose development would be supported by participation in the CBI Fellowship Program: How will you use
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. We are looking for someone who shares our values and who will support the mission of the university through their work. Qualifications: PhD in Machine Learning, Computer Science, or a related field by
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, and Simultaneous Localization and Mapping (SLAM) is desired. The position is open to PhDs with background in robotics, controls, AI, and/or computer vision. The candidate is expected to work in a highly