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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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machine learning techniques to derive clinically meaningful clusters based on CV risk factors and digital biomarkers; Identify phenotypic extremes to guide downstream immunological analyses; Collaborate
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, 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 engineering, employing
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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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20.05.2025, Wissenschaftliches Personal A PhD position is available at the high-tech startup lifespin GmbH in Regensburg in a collaboration with the Technical University of Munich (TUM) and the
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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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research program in neurodegeneration, exploring areas such as molecular mechanisms, therapeutic interventions, or advanced high- throughput drug discovery techniques. Collaborate with interdisciplinary
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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
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Simulations (LES). The analysis will be performed together with teams at the Helmholtz-Zentrum Hereon that focus on ocean turbulence and machine learning as a part of the TRR181 Collaborative Research Centre