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. Key Responsibilities Install, maintain, upgrade and optimise the infrastructure that supports data-intensive research activities. Maintain and support our High Performance Compute infrastructure. Extend
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Data Core services, including high-performance computing pipelines and large-scale GPU resources, to scale LLM development and deployment. Your profile PhD in machine learning, computer
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services, which provide expert support in data management and high-performance computing, including optimized pipelines and large-scale GPU resources. A competitive salary and benefits package, with
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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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an excellent reputation in technology transfer. VIB Technologies constitutes the centralized scientific research infrastructure of the institute and allows scientists access to high-end and innovative
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procedures. Monitor system and service performance and proactively identify opportunities for improvement. Upgrade systems with new releases and models where appropriate. Stay up-to-date with emerging
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. The labs are strongly focused on integrating the wet lab and computational sides. You will work closely together with fellow computational and experimental colleagues, ensuring the data is analyzed in a
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to apply plant biotechnology for applications in the Global South Welcome but not required Experience in bio-informatics Interest in automated phenotyping Key personal characteristics You are enthusiastic
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, ability to critically discuss and present scientific results, and proficiency in English for oral and written communications. Experience with genome editing, bioinformatics (e.g. python, linux) and high
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all things ICT Practical experience with key technical aspects of Windows (installation, software management, registry, etc.) A degree in computer science or equivalent experience gained