19 big-data-and-machine-learning-phd Postdoctoral research jobs at Nature Careers in Belgium
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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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join a collegial research group comprising several PhD candidates and one postdoctoral researcher, all working on topics related to IP law. The faculty is a vibrant European IP hub with a strong research
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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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knowledge of one or all of the following: Measurement theory Quantum optics Quantum dynamics Stochastic processes Your profile Strong analytical and numerical skills High-quality PhD in Theoretical Physics
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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