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information systems engineering. The group conducts research on the application and the impact of digital technologies like DLT/Blockchain, Digital Identities and Machine Learning/AI on organisations from both
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-of-the-art in SLAM, situational awareness, computer vision, machine learning, robotics, and related fields Developing and implementing innovative solutions, validated through real datasets and experiments
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diverse academic backgrounds to contribute to our projects in areas such as: Network Security, Information Assurance, Model-driven Security, Cloud Computing, Cryptography, Satellite Systems, Vehicular
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trials (e.g., diet, FMT), and ex vivo gut models enabling advanced multi-omics analyses of these samples. In addition the lab also maintains a large culture collection, partially linked to genomic data
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currently exploring a range of exciting topics at the intersection between computational neuroscience and probabilistic machine learning, in particular, to derive mechanistic insights from neural data. We
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Participate in a dedicated training plan For further information, please contact Prof. Marcus Völp at critix- Your profile Qualification: PhD in Computer Science Experience in dependable systems, real-time and
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features. Developing innovative research concepts and contributing to the scientific direction of the group. Mentoring of PhD students and supporting their academic development. Participating in educational
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diverse academic backgrounds to contribute to our projects in areas such as: Network Security, Information Assurance, Model-driven Security, Cloud Computing, Cryptography, Satellite Systems, Vehicular
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projects Manage research projects and prepare project deliverables Provide guidance to Master students and PhD students that submit work to Information Systems outlets The candidate should demonstrate
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. Background information The urinary bladder plays a crucial role in storing and releasing urine, controlled by complex neural pathways. As the bladder fills, sensory signals arise in its wall and inform