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expertise in architectural design and methodology. You can demonstrate experience in practice in developing and/or customizing digital workflows and tools. Experience with automation and machine learning
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scientific, societal and internal services that contribute to the reputation of the entire VIB and university. Your profile PhD or equivalent experience in machine learning or a related quantitative field
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platforms involving sensors, instrumentation, and physical measurements Involvement in the design, wiring, commissioning, and troubleshooting of systems Collaborate closely with PhD students, postdocs, and
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preferably adopt a systems-level approach and make use of high-throughput methodologies. Effective application of advanced machine learning analysis and data integration approaches, potentially through
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. Charlotte Scott and will work alongside 8 PhD students and 6 postdocs, 2 wet-lab technicians and 2 computational experts. This role involves working closely with the other members of the team on different
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systems engineering. The group conducts research on the application and the impact of digital technologies like DLT/Blockchain, Digital Identities, Machine Learning/AI, and IoT/5G on organisations from both