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team players and passionate on cutting edge computer vision and machine learning technologies, as well as possess deep understanding of machine learning technology and experience on turning machine
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parameters based on paired visible-light and X-ray images. The developed techniques will be validated on real data. As a candidate, you must have a strong background in machine learning and computer vision, as
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Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description The research program involves the study of machine learning
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need for graduate student services to provide technical and/or analytical support in the field of computer science and electrical engineering for a computer vision team, specifically for the Shipboard
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period, but with the intention to extend subject to stage-gate approval of the full programme. This is a new role which will define the roadmap, champion the vision to senior stakeholders, and lead the
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Deep Learning libraries (e.g., Pytorch, Tensorflow, Keras) will be considered a significant advantage; Previous experience in image processing and\or computer vision will be considered an advantage
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described in our strategic vision, Pro Futuris, and academic strategic plan, Illuminate. Connections working at Baylor University More Jobs from This Employer https://main.hercjobs.org/jobs/21981876/program
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learning systems, among others. Successful candidates will be responsible team players and passionate on cutting edge computer vision and machine learning technologies, as well as possess deep understanding
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level in a field relevant to the doctoral subject. The applicant must also be able to demonstrate documented proficiency in English. You have knowledge and expertise in computer vision and/or medical
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behavioural experimental design and statistical modelling; computer vision and AI techniques; explainable AI and human–machine comparison methods; and responsible innovation. The student will work closely with