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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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interaction (FSI) and dynamic response of seal rings under real-world conditions. Collaborate with the Leonardo Centre for Tribology: Work with top researchers on experimental and modelling techniques. Why
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research team at the Technical University of Munich in collaboration with the Walther-Meißner-Institute of the Bavarian Academy of Sciences and Humanities and open a PhD researcher position for a quantum
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conducts research on the application and the impact of digital technologies like DLT/Blockchain, Digital Identities, Machine Learning/AI, GenAI, and IoT/5G on organisations from both the private and public
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or infrastructure. This is what makes our daily work so meaningful and exciting. The Division of Computational Genomics and Systems Genetics is seeking from October 2025 a PhD Student in Deep Learning for Rare
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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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experiments. Data & Analysis: • Collaborate with data scientists to analyze host and microbial data using statistical, bioinformatic, or machine learning approaches. • Contribute to the integration of spatial
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educator resources, paying particular focus to the development of enterprise skills in the computing and software development context. Expected outcomes include stronger industry-academia collaboration
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Maguire. Training and Mentoring: You will learn a multidisciplinary set of practical skills including reaction kinetics, enzymatic chemistry, analytical techniques (e.g. NMR / fluorescence / UVVis
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challenging, innovative, and dynamic research projects. They will learn the routine lab techniques and build strong analytical skills. The work between the two labs is at the interface of biology and