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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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The Fraunhofer-Gesellschaft (www.fraunhofer.com) currently operates 76 institutes and research institutions throughout Germany and is the world’s leading applied research organization. Around 32 000
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-of-distribution objects in a given scene. Using machine learning methods for such vision usecases can improve efficiency. To employ machine learning methods in safety critical usecases, it is essential to be able
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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 on semiconductor
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in machine learning. A core research of the group is the intersection of explainability, fairness and robustness of machine learning models. Become a part of our team and join us on our journey
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Future. Discover. Together. The Applied Machine Learning (AML) Group of the Artificial Intelligence Department is seeking a Machine Learning Engineer to support our scientific activities in
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clinically relevant challenges in image- and data-based diagnosis and therapy. What you will do You will be tasked with the critical evaluation and refinement of a visual Machine Learning (ML) toolkit
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knowledge in the fields of Computer Vision and Machine Learning is advantageous Strong verbal and written English skills Presence in Berlin as we expect working at the institute What you can expect
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Future. Discover. Together. The Applied Machine Learning (AML) group is part of the Department for Artificial Intelligence and is looking for a student research assistant to support scientific
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. In current research projects at Fraunhofer IPA, modern machine learning methods are being used in applications for industry 4.0. You will learn about the possibilities and limits of industrial image