21 data-"https:"-"https:"-"https:"-"https:"-"https:"-"UCL"-"UCL"-"UCL" positions at VIB
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to the lack of proper techniques to study them, yet has strong translational potential. With new technologies, and the data that you will analyze, we finally have the opportunity to unlock their true potential
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discovery and innovation in biotechnology, genomics, and computational biology. At the VIB Data Core, we empower scientists by delivering advanced infrastructure and services that tackle complex challenges in
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in close partnership with the five universities in Flanders. The ICT department at VIB ensures that assets, technology, information, and data are managed securely and efficiently. Our focus includes
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in close partnership with the five universities in Flanders. The ICT department at VIB ensures that assets, technology, information, and data are managed securely and efficiently. Our focus includes
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neurodegeneration both within as well as across -omics modalities, leveraging both in house as well as public databases. Expertise in the data analysis of one of the modalities that we will use in this project
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engineering, and have expertise in building camera systems and computer vision. This role also involves working closely with the other members of the team on projects related to plant phenotyping (assessing e.g
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letter of intent describing how your research experiences and interests are aligned with the lab The names and contact information for three references ---Emailed applications will not be considered
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discovery and innovation in biotechnology, genomics, and computational biology. At the VIB Data Core, we empower scientists by delivering advanced infrastructure and services that tackle complex challenges in
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? Motivated candidates are asked to apply online. Additional requirements: Please upload your full CV Please upload a motivation letter Please add the contact details of at least two references More information
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to cutting-edge biomedical questions. Design, implement, and evaluate LLM-based solutions for tasks such as scientific text mining, multimodal integration of literature and biological data, and knowledge