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Field
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technical infrastructure – ideal conditions for extensive system analyses, including institute’s own cluster computer and access to the HPC at the FZJ Opportunity to participate at international conferences
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industries. Overarching top topics at Fraunhofer ITWM are Machine Learning as well as Artificial Intelligence and Renewable Energies or Sustainability. In addition, next generation computing and quantum
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on highly relevant and practical research projects and experience interdisciplinary research at the forefront of technological innovation. With access to state-of-the-art computing resources, simulations, and
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production engineering practice. What you will do You study mechanical engineering, automation technology, computer science, mathematics or a comparable subject You are interested in the use of artificial
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datasets. Developing and implementing data processing workflows to create high-quality visualizations and maps. Utilizing PIK's high-performance computing cluster for spatial and temporal data analyses
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optical communication networks and systems, as well as machine learning, computer vision and compressing digital videos. Become a part of our team and join us on our journey of research and innovation! What
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basic and subject-specific courses in the Master's degree program. Qualification requirements are a relevant academic degree, pedagogical suitability, special aptitude for scientific work, which is
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, computer science, medicine, pharmacology, and physics. ISAS is a member of the Leibniz Association and is publicly funded by the Federal Republic of Germany and its federal states. At our location in
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, computer science, medicine, pharmacology, and physics. ISAS is a member of the Leibniz Association and is publicly funded by the Federal Republic of Germany and its federal states. At our location in
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analysis and visualization Numerical modeling and programming for model optimization & machine-learning What you bring to the table You are studying Simulation Sciences, Mechanical Engineering, Computational