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observations, semi-structured interviews, controlled language tasks, as well as advanced statistics (network analysis). Together, the studies you will conduct will inform us about when and how brokering has
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selection and validation, supervised and unsupervised learning, optimization techniques, (deep) neural networks, probabilistic methods and statistics, data visualization, natural language processing
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university, in an interdisciplinary setting and within an international network. You will work on a beautiful, green campus within walking distance of the central train station. In addition, we offer you: Full
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, social sciences, process management, and geo-information science. The faculty works closely with other faculties, universities, private parties, and the public sector, and has an extensive network in
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magnetic resonance methodology and instrumentation. Within the CRC, ample opportunities exist for learning, networking, and collaboration. Salary will be in accordance with guidelines of the Deutsche
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Fully Funded PhD Position: Decoding Chromosome 1 Risk in AMD Using Stem Cell–Derived Retinal Models Host: Newcastle University (UNEW), UK Consortium: MSCA Innovative Training Network Pandora Start date
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multidisciplinary network of researchers within the departments of Molecular Cell Biology & Immunology and Pathology at Amsterdam UMC. Would you like to know more about the different phases within the PhD trajectory
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degree. The PhD students will become part of a national network together with doctoral students from the other participating universities. The programme includes training in pedagogy, methodological
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interactive environment. The candidate will join the Dutch-Flemish Postgraduate School ‘Experimental Psychopathology’ (http://epp-research.eu), which will provide additional training and facilitate networking
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Inria, the French national research institute for the digital sciences | Saclay, le de France | France | 2 months ago
fitted with sensors, we can also access precise physical measurements. Recent work in AI-for-Science has shown that neural-network-based meta-models can also assimilate measurements. Machine learning