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integration technologies and transfers them into practical use. Fraunhofer ENAS accompanies customer projects from the idea to the design, technology development, or implementation using existing technologies
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on semiconductor manufacturing and medical technology. Do you have a passion for developing application-oriented computer vision pipelines for semiconductor metrology? Join our team as a student and
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you bring to the table Studies in Computer Science, or equivalent Good C++ knowledge Basic knowledge in static program analysis Completed the course “Designing Code Analyses for Large Scale Software
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Computer Science, Human-Computer Interaction, Media Informatics, Medical Engineering or a related field. Proficiency in web programming languages and frameworks. A solid understanding of Machine Learning principles
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effectively aids patients in understanding their medical reports more clearly. The topic is suitable for bachelor or master thesis. What you bring to the table enrolled student in Computer Science, Human
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: physics, electrical engineering, computer science, systems engineering, mathematics, medical informatics or similar subjects. • You have knowledge of Python, enjoy laboratory work, and want to further
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, physics, data science, engineering, applied mathematics or a comparable degree program You have already worked with probabilistic forecasts or have a strong interest in them and address this in your cover
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: Electrical Engineering, Computer Science, Physics, Agricultural Sciences Interest in writing their master's thesis about this project Good knowledge of Python, REST, RabbitMQ Experience in developing
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, physics, data science, engineering, applied mathematics or a comparable degree program You have already worked with probabilistic forecasts or have a strong interest in them and address this in your cover
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, e.g. computer science, mathematics, physics, engineering, electrical engineering. You ideally have programming skills, e.g. in C++, and Python. You enjoy programming in the context of relevant