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Field
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-time data acquisition during production, consulting, and prototype manufacturing. Graph neural networks provide an opportunity to operate on Mesh structured data utilized in Finite Element Method (FEM
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world leader in the field of optical data transmission. Building on many years of experience, its outstanding expertise in the field of optical wireless communication also enables the development
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Strong interest in utilizing innovative data collection modalities (e.g., wearables) and AI in prevention research We Offer Excellent framework conditions: state-of-the-art equipment and opportunities
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welcome their applications. You can find information on our representative body for severely disabled persons and inclusion officer on our homepage. Applicants with severe disabilities will be given
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decentralized - your application will be reviewed directly by the specialist department in which you could work in the future. More information about our application process Please send your application only via
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information about the can be found on the Internet at www.igzev.de . For questions, please contact Margita Hefner (+49 (0)33701 78 366; hefner(at)igzev.de ). We encourage a healthy work-life balance. The IGZ
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degree in data science, Applied Mathematics, Computer Science, Physics, Meteorology, or a related field. Strong interest in wind energy development and the energy transition. Proficient in Python
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topics and projects with the following activities: Implementation of ML models for optimizing hedging strategies in Python Evaluation and comparison of different models (benchmarking) Supporting data
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Technology: Professorship Measurement and Sensor Technology Further information Technische Universität Dresden Faculty of Electrical and Computer Engineering Faculty of Computer Science Faculty of Mechanical Science and
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the first 5 years, also including a summary of previous work, collaborations, and wider outlook (maximum 5 pages) Contact information for at least three academic referees The position is permanent. Contact