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automation in industry. Disruptive technologies such as artificial intelligence and quantum computing play a key role here. Fraunhofer IKS is conducting research to ensure that these applications are reliable
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optical communication networks and systems, as well as machine learning, computer vision and compressing digital videos. The Applied Machine Learning (AML) group is part of the Department for Artificial
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wide range of markets such as automotive, industrial and aerospace. The rapidly growing demand for computing power especially in relation to quantum computing (QC), artificial intelligence (AI), and
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or becoming an engineer. We support you in this process! The scientific work will be carried out in the business unit Next Generation Computing at Fraunhofer IPMS in Dresden. The examination takes place via
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, computer engineering, or a comparable field (bachelor's/master's degree) Interest in modern manufacturing technologies and welding processes Experience with Python/data analysis Structured, independent
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, Biophysics or a related field), and current enrollment in a Master's program Practical experience with basic molecular biology techniques (e.g., pipetting, buffer preparation, sterile work); prior experience
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check whether the model can reliably predict the parameters of a demonstrator component What you bring to the table You are studying industrial engineering, physics, computer science, mechanical
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remuneration. The duration of the internship depends on the requirements of your university. The weekly working time is 39 hours (full-time). The Fraunhofer-Gesellschaft attaches great importance
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university. The weekly working time is 39 hours (full-time). The Fraunhofer-Gesellschaft attaches great importance to the professional equality of women and men. We value and promote the diversity of our
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systems for measurement processes, or innovative hardware and software for quantum computers and quantum sensors: we develop tomorrow’s technology in-house for a sustainable and secure society. When will