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Field
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digitalization team of the departments »High performance materials « and »Modular production machines «, we deal with the development of the control software of production machines and data-driven optimization
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! background in computer science, open-source projects, digital engineering, data science or related fields good software design skills and experience in building and maintaining data processing pipelines and
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Expertise in software development with Python, database and search engine technologies, machine learning frameworks, semantic web technologies, Docker Desired: expertise in working with scholarly data
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at the interface of computational systems biology and mathematics/statistics with a strong attitude to open research software development. For more information visit http://www.fz-juelich.de/ibg/ibg-1/modsim
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solutions for real security and data protection issues. The Secure Software Engineering research department researches and develops innovative solutions for the automatic identification of malware
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modules for electromobility, laser systems for measurement processes, or innovative hardware and software for quantum computers and quantum sensors: we develop tomorrow's technology from a single source for
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Bachelor’s degree (B. Sc.) in Computer Science, Software engineering or a related field), and current enrollment in a Master's program Interest in AI, data science, HCI and Digital Health Practical experience
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into open-source software tools and data portals of the institute • Collaborate with internal and external, as well as national and international, project partners Present your results at national and
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software contributions, or publications) is highly desirable Excellent English skills; German is a plus but not required Our Offer: We work on highly topical, socially relevant issues and offer you the
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contract afterwards. Qualifications and experience Required Completed vocational training as IT specialist or degree in computer science, computational science, engineering, physics, mathematics