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increasing sustainable economic prosperity and social participation under constantly changing conditions. Want to know more about us and your career opportunities? Come and meet us at https://www.ifo.de/en
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. • Computational efficiency: Designing adaptive and physics-aware strategies (e.g., optimized residual selection, physics-based zooming) for real-time inference. • Practical usability: Developing robust, user
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-MS. (previous works e.g.: https://www.nature.com/articles/s41563-019-0555-5). Ideally, the applicant takes over the co-supervision of selected PhD candidates. We are looking for an individual with a
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participate in the Doctoral Program of the TUM School of Management • Support and collaborate on third-party funded research projects Your profile... • Completed (or close to completing) a Master’s degree or
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to apply for the vacant position. Applications from severely disabled persons will be given preference if they are equally qualified ( sbv.desy.de ). You can find further information here: https
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details below). For more details about the institute, please visit: http://www.iag.uni-hannover.de/ Please submit your application with the usual document by December 7th, 2025 in electronic form via
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references) by February 16, 2026 (stamped arrival date of the university central mail service or the time stamp on the email server of TUD applies), preferably via the TUD SecureMail Portal https
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or activities in organizations, lectures, further training or qualifications) are to be submitted electronically via the appointment portal of Martin Luther University Halle-Wittenberg by 30.01.2026: https
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, you will be supported by your colleagues in the team. What you contribute Are you studying Mechanical Engineering, Electrical Engineering, Energy Technology, Technical/Applied Computer Science, Data
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into real-world applications in Geriatronics. Your Profile PhD in Robotics, Mechanical Engineering, Electrical Engineering, Computer Engineering, Mechatronics, or a closely related field. Proven experience in