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Field
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is a world leader in research into mobile and optical communication networks and systems as well as the coding of video signals and data processing. We are looking for student assistants
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communication, a supportive and respectful working environment, and motivating trainers who are there to support you. Selection process Are you ready for a new challenge and interested in this varied and
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optical communication networks and systems, as well as machine learning, computer vision and compressing digital videos. The Applied Machine Learning (AML) group is part of the Department for Artificial
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instruction and operation. The successful candidate will have the opportunity to teach in the School’s Master, Executive, and PhD programmes, including at the PhD level in the Berlin School of Economics. We
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systems for measurement processes, or innovative hardware and software for quantum computers and quantum sensors: we develop tomorrow’s technology in-house for a sustainable and secure society. When will
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the following areas, the applicant would strengthen the planned initiatives: • Development of laser-plasma radiation sources for medical physics; • Influence of light fields on inter- and intracellular processes
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TUM Faculty Recruitment and Career System are available at www.tum.de/faculty-recruiting. HereyouwillalsofindTUM’sinformationoncollectingandprocessingpersonaldata as part of the application process
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transition and gain practical experience during your studies? At our company, you will play a role in making this goal a reality. In our new research field, we investigate the entire manufacturing process of
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Your Job: Join our team to manage computing time resources and projects. Your tasks include: Coordination of calls for allocation processes and computing time budgets with our European partners
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in, but not limited to, the following areas are especially welcome: Reinforcement Learning Virtual Reality, Augmented Reality, Digital Avatars Embodied AI Natural Language Processing Human-Computer