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biological data, development of deep learning and large language models for biological discovery or graph-based methods for molecular and cellular networks. The technological foundation further consists
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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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) dual-site research and training facilitated by a virtual research environment (VRE) where digital classes are combined with online tools to share information and research data a comprehensive
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) dual-site research and training facilitated by a virtual research environment (VRE) where digital classes are combined with online tools to share information and research data a comprehensive
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Wikibase instance Curate and model historical migration datasets within the dedicated Wikibase instance Contribute to the design of ontologies and metadata schemas for the knowledge graph Develop data-driven
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algorithms. Graph Neural Networks. The candidate is expected to hold a relevant MSc degree in Computer Science, Data Science, Physics, (Applied) Mathematics, Computational Statistics or another field
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various disciplines: computer scientists, mathematicians, biologists, chemists, engineers, physicists and clinicians from more than 50 countries currently work at the LCSB. We excel because we are truly
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raw data. 5). Write, edit, and proofread manuscripts and scientific abstracts (with potential role as lead or co-author) for peer-reviewed journals and professional research meetings in compliance with
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); dual-site research and training facilitated by a virtual research environment (VRE) where digital classes are combined with online tools to share information and research data; a comprehensive
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documentation and analysis of research data Development of experimental strategies to investigate and test scientific hypotheses Presentation of research findings and preparation of scientific publications