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master’s program in Physics, Electrical Engineering, Computer Science, Photonics or a related field Prior knowledge in machine learning, data science, measurement technology, optoelectronics Interest in
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-system component models Your profile On-going master studies in Electrical Engineering, Communications and Signal Processing, or Physics with Applied Mathematics Knowledge of signal processing, microwave
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based on machine learning. Reference number 08/26 Your tasks 1. Assessment and analysis of GaN technology characterization data Identification of outliers during testing, with and without machine learning
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documentation into a product lifecycle management database Your profile University degree (university diploma or master's degree) in physics, physical engineering, photonics, aerospace engineering, electrical
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. You will have access to a unique range of testing machines and measurement technology, enabling you to effectively develop important experimental results in the above-mentioned areas. You will join a
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on biodiversity and its change, we are advancing the further development of our extensive scientific collections with an international team and state-of-the-art technology. With our exhibition, knowledge transfer
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The Leibniz-Institut für Kristallzüchtung (IKZ) is a leading research institution in the field of science & technology as well as service & transfer of crystalline materials. Our goal is to enable
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), as well as infrared thermography. Practical objectives require an understanding of fundamental physical relationships as well as consideration of materials science and manufacturing technology aspects
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As the German National Library of Science and Technology, our future-oriented services ensure the infrastructural requirements for a high-quality supply of information and literature for research in
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The Leibniz-Institut für Kristallzüchtung (IKZ) is a leading research institution in the field of science & technology as well as service & transfer of crystalline materials. Our goal is to enable