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LevelBachelor Degree or equivalent Skills/Qualifications Programming in Python and use of AI/ML libraries (scikit-learn, pandas). Proficiency in video and image processing (OpenCV). Knowledge of deep learning
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cinematography Demonstrated knowledge of image-acquisition and narrative filmmaking-specific pedagogical approaches Documented experience as cinematographer on a variety of professional work including, but not
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the Aiguilles Rouges and Mont Blanc massifs. He/she will compile the archive of Sentinel-1 SAR images used to observe these sites and generate interferograms using a multi-temporal InSAR processing chain such as
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Bioinformatics / Science Information Science (more...) Computational Science and Engineering / Natural Language Processing Cognitive Science Machine Learning Quantum Machine Learning Artificial Intelligence
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materials systems at the molecular level with machine learning. The PhD Student will undertake a study analysing mass spectral imaging data streams in real time using machine learning workflows. A pathway for
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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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Inria, the French national research institute for the digital sciences | Pau, Aquitaine | France | 23 days ago
given reconstruction (considered as an image) from apriori information (the measured data-set, simulations, map of uncertainty). Where to apply Website https://jobs.inria.fr/public/classic/en/offres/2026
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Max Planck Institute for Human Cognitive and Brain Sciences • | Leipzig, Sachsen | Germany | 1 day ago
TU Dresden or UCL may attend online. Application deadline See our website (https://imprs-coni.mpg.de/application-dates) for further information. Tuition fees per semester in EUR None Combined Master's
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in computer vision and neural networks, and want to both contribute to new advances in a field with real world applications. The position is in the Digital Signal Processing and Image Analysis Group
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Job Purpose A key member of the Scottish Imaging Network: A Platform for Scientific Excellence (SINAPSE) is a collaboration between 6 universities (Aberdeen, Edinburgh, Glasgow, St Andrews, Stirling