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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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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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machine learning, we e.g. research how we could improve classical medical imaging procedures by quantum-assisted methods. This includes quantum Bayesian neural networks, which have a potential to allow for
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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 30 000
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assistant staff. With its focus on developing key technologies that are vital for the future and enabling the commercial utilization of this work by business and industry, Fraunhofer plays a central role in
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subject with above-average grades You have very good programming skills in deep learning frameworks and Python Ideally, you already have basic knowledge of computer vision and computer graphics You enjoy
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or a comparable subject You have already gained initial experience in the area of machine learning or deep learning (ideally with a focus on LLM). You have programming knowledge in Python What you can
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passionate about energy management and algorithm development? We're on the lookout for a student assistant to join our team and dive into the exciting world of cutting-edge technology! What you will do You
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Parallel programming with CUDA Optimization based on machine learning techniques Performing LIDAR measurements in different indoor scenarios. Experimental validation of the simulation results Documentation
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Future. Discover. Together. The Group for Applied Machine Learning at the Department for Artificial Intelligence at Fraunhofer Heinrich Hertz Institute in Berlin is looking for a student assistant