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Field
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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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: 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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Machine Learning and Computer Vision for remote sensing and processing satellite data. Our group studies natural and designs artificial cognitive systems, researches their relationships and develops methods
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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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of the art in AI, image processing, Computer Vision and Optical Coherence Tomography Comparison and selection of suitable classical and Deep-Learning-based image processing algorithms Development and training
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the realization of innovative and marketable products. What you will do Investigate AI and Computer Vision algorithms to solve different data analysis problems Build prototypes and tools Design and implement a
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MASTER THESIS MONOCULAR DEPTH ESTIMATION FOR AUTONOMOUS DRONES USING DEEP LEARNING & COMPUTER VISION
traffic safety. What you will do For our current projects we are looking for excellent students who would like to write their thesis in the area of Computer Vision and Deep Learning. The thesis(es) will
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for three years, with the possibility of extension. Projects are in the area of data science and computational neuroscience. You will develop and apply modern methods from machine learning and computer vision