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Completed university studies (Master/Diploma) in the field of mechanical engineering, physics of related disciplines Enjoy experimental work in international and multidisciplinary teams Communicative
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sleep patterns, gaining insights into sleep-related issues, and personalised sleep health management. However, the dynamic nature of sensor networks caused by frequently adding and removing nodes has
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programme at the Faculty of Science . The ideal candidate has a background in or experience with one or more of the following topics: SIMD performance engineering. Machine Learning. Communication-efficient
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highly automated, networked mobility, featuring international collaboration with mentors from the USA, Asia, and Europe. TUD and the RTG embody a university culture that is characterized by cosmopolitanism
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team Very good communication and organizational skills Very good command of the English language Please feel free to apply for the position even if you do not have all the required skills and knowledge
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? Then consider advancing these theories with us. In this project, we aim to extend the powerful tools of statistical mechanics on graph and network models to broader applications in soft and active
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communication, commercialisation and leadership Intensive annual multi-day bootcamps (held in remote and beautiful locations) where experts share their knowledge in an important current research area Outreach
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. Background and aims: As we move towards the future of large communication networks and remote sensing, applications such as 6G communications will require higher data rates, wider bandwidth, and stronger
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automated, networked mobility, featuring international collaboration with mentors from the USA, Asia, and Europe. TUD and the RTG embody a university culture that is characterized by cosmopolitanism, mutual
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that equips and empowers children, adults, families, and communities to understand and intentionally apply the science of wellbeing, intentional practice, trauma, resilience and growth for themselves