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Field
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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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vision is to make clean energy accessible to drive climate action and enable children raised in off-grid and informal settlements to reach their full potential. We are looking for a Research Associate
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information about AbbVie, please visit us atwww.abbvie.com . Follow @abbvie onX ,Facebook ,Instagram ,YouTube ,LinkedIn andTik Tok . Job Description Program Overview AbbVie is recruiting outstanding individuals
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Australian National University | Canberra, Australian Capital Territory | Australia | about 20 hours ago
close to finishing a PhD) in Robotics / Computer Science / related area Proven ability to conduct high quality research, evidenced by peer-reviewed publications in good venues for Robotics/AI/ML area
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into the design of a prototype implant to be tested in large animals. The Neural Engineering and Ophthalmology research environments are excellent. The Neural Engineering Training Program and the Vision Research
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Australian National University | Canberra, Australian Capital Territory | Australia | about 20 hours ago
are looking for a highly motivated and collaborative researcher who holds a PhD in molecular biology, immunology, cancer biology, or a related discipline. The ideal candidate will have demonstrated expertise in
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questions: Professor Dag Johansen; dag.johansen@uit.no General and administrative questions: Katrine Kildemo; katrine.kildemo@uit.no via Unsplash Qualifications The position requires: A PhD degree in computer
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projects will work towards this goal. PhD research fellow will be part of the PhD programme in Computer Science: Software Engineering, Sensor Networks and Engineering Computing (https://www.hvl.no/en
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of translating fundamental AI, computer vision and spatial audio into ground-breaking creative-industry technologies. The post will investigate novel audio systems for virtual production, contributing both
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Vision conferences, CVPR, ICCV, ECCV and peer reviewed journals. Minimum Qualifications: PhD in Computer Science or a related field obtained within the last five years. Strong skills in machine learning