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information technology study background with high interest in technical applications (computer science, computational linguistics) Experience in LCA Fluent written and spoken English Our Offer: We work on the very latest
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very good Master’s degree in Computer Science, Medical Informatics, Business Informatics or a related field. Practical experience as a full-stack developer for cloud-native and/or on-premise applications
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to gain insights and evaluate the mobile app. What you bring to the table Ideally University studies in software engineering, computer science, or a related field. Sound programming skills, especially in
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Electrical Engineering / Mechatronics / Automation Engineering / Computer Science or related fields Interest in battery technologies and electromobility Basic knowledge of electrochemistry or willingness
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diploma or master’s degree specializing in Automation Engineering, Computer Engineering, Control Engineering, or Electrical Engineering. You already have knowledge in the field of automation engineering
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medicine in accordance with the German Veterinarian Licensing Regulations (Verordnung zur Approbation von Tierärztinnen und Tierärzten), and cover teaching in the equine science bachelor’s degree program
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, Marine Chemistry, Biological Oceanography, Marine Geosciences, and Marine Observations works interdisciplinary within a joint research program. What will be your tasks? The successful candidate will work
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Designing a standardized heating network model to test the interface Conducting thorough analyses of the simulation results Your Profile: Studying Mathematics, Physics, Computer Science, Electrical
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on the PhD program can be found here: https://www.wi.tum.de/programs/doctoral-program. Requirements • Master's degree in economics or related disciplines completed with very good results • Solid knowledge
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of Germany’s leading institutes of technology and offers an inspiring work environment with a wide range of research and teaching opportunities in state-of-the-art facilities. The 3,800 members of our academic