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Future. Discover. Together. The Computer Vision & Graphics (CVG) group develops innovative solutions in the field of 3D image and scene analysis and representation and is looking for a student
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existing technologies, right through to the tested prototype. The Data-based Methods team at Fraunhofer ENAS develops real-world applications using AI, machine learning and computer vision. The main focus is
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update efforts, you will investigate methods that facilitate domain generalization of machine learning algorithms in computer vision. What you bring to the table Good knowledge in machine learning and
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existing technologies, right through to the tested prototype. The Data-based Methods team at Fraunhofer ENAS develops real-world applications using AI, machine learning and computer vision. The main focus is
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Announcement for fields of study such as: Automation technology, software engineering, computer engineering or comparable. Fraunhofer IPA is an institute for Manufacturing Engineering and Automation
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funded by an EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description We are looking for a highly motivated and talented PhD student to join the newly
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: Familiarity with deep learning frameworks such as Tensorflow or PyTorch Familiarity with Computer Vision, Foundation Models, Generative AI Familiar with Convolutional Neural Networks/Vision Transformers
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Zukunft. Gemeinsam. Entwickeln. Die Gruppe Computer Vision & Graphics der Abteilung Vision & Imaging Technologies (VIT) ist auf der Suche nach studentischen Hilfskräften für die Entwicklung von KI
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projects Prior experience in computer vision, image analysis, or machine learning Strong programming skills in Python and experience with deep learning frameworks such as TensorFlow or PyTorch Prior
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Doctoral candidate (PhD) – Computational Biomedicine / Machine Learning / Spatial Omics (m/f/d) Stellenanzeige merken Stellenanzeige teilen starting 01.09.2024 at the Institute for Computational