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, algorithms, and tools critical to VFD’s vision of an enhanced customer offering. The following links provide more information on Knowledge Transfer Partnerships (https://www.ktp-uk.org/ ) and VFD Pro Limited
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machine learning and computer vision algorithms • Build tools for photogrammetric 3D reconstruction and defect detection • Evaluate and refine AI models using annotated data and real-world image datasets
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/experience areas include: A Master’s degree in Electrical Engineering, Computer Engineering, or Mechanical Engineering GCC/Eclipse based toolchains Linux and embedded real-time operating systems DSP algorithm
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of Stellar Systems' research group led by Prof. Glenn van de Ven. Our ideal candidate has a solid background in computational astrophysics, strong track record in software development, and keen interest in
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will work with VFD Pro Limited and the University of Southampton Business School’s FinTech and AI experts to embed and commercialise AI platforms, algorithms, and tools critical to VFD’s vision
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Develop figures, diagnostic algorithms, and graphical abstracts for publications. Prepares visual content for book chapters and peer-reviewed articles, ensuring high quality and clarity. Support for
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necessary information to complete the FL DOH case file Shares at-home call for consults and NBS some nights and weekends – as needed and directed by Program Director and Clinical Chief Performs sample
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university preferably in the subject areas of computer vision, computer graphics, computer science, media informatics or creative technologies Good programming skills in C++, C# for support in algorithm
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this role, you will work as part of the world-class team of researchers and software developers within the PSS team to develop all or some of firmware, software and algorithms for pulsar and fast transient
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: - Master’s degree in Electrical Engineering, Computer Engineering, Computer Science, or related field. - 12+ years of professional experience - Successful experience with modern software languages such as one