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PhD Studentship: Enhancing Material Properties and Longevity in Maxillofacial Reconstructive Devices
of working with polymers and materials characterisation. Knowledge or experience o f medical/dental devices or prosthetics and computer-aided design. How to apply Dr Keith Winwood (K.Winwood@mmu.ac.uk ) will
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IT4Innovations National Supercomputing Center, VSB - Technical University of Ostrava | Czech | about 1 month ago
operates the first Czech quantum computer named VLQ. For more details, see www.it4i.eu . Activity description: · conduct research in machine learning with emphasis on computer vision, · develop and evaluate
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of estimators, test statistics, and predictions modelling dynamic relationships between brain activity and subjectively experienced pain at the individual level Research context The PhD is closely linked
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Fundación para la Investigación Biomédica del Hospital Gregorio Marañón (FIBHGM) | Spain | 6 days ago
experience in: • Cell culture techniques. • Genomics and sequencing technologies. • Quality management systems. • Use of computer applications and databases. • Statistical analysis. Desirable qualifications
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to demonstrate documented proficiency in English. You have knowledge and expertise in computer vision and/or medical image analysis, deep learning as well as mathematics. You have substantial expertise in
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Dutch), cognitive modeling of human problem solving processes, mechanistic interpretability in AI-models, as well as extensive computer programming experience in R and Python. Given that the project lies
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Inria, the French national research institute for the digital sciences | Villers les Nancy, Lorraine | France | 20 days ago
Website https://jobs.inria.fr/public/classic/en/offres/2026-09928 Requirements Skills/Qualifications Profile: - The candidate is completing a Master's or engineering’s degree in Computer Vision, Electrical
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, including Machine Learning & Artificial Intelligence, Colour & Imaging, Computer Vision, Graphics, Data Science, Health Computing, Computational Biology, Cyber Intelligence and Networks. We collaborate with
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Max Planck Institute for Intelligent Systems, Tübingen, Tübingen | Bingen am Rhein, Rheinland Pfalz | Germany | about 1 month ago
, biology and medicine. Using unique 3D & 4D capture facilities, machine learning, computer vision and advanced graphics, we are modeling every nuance of how humans and animals look and move. We develop
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Sciences and Enabling Technologies Group: Multimedia Signal Processing - Leiria. Eligibility Requirements: Candidates for this PhD Scholarship (BD) must: Hold a Master’s degree in Electrical and Computer