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machine learning processing of the spectroscopic data • The optical design and development of novel custom spectroscopic sensors benefitting from freeform optics. • Integration of the in-situ
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knowledge of English. • Basic computer skills (word processing, spreadsheets, inventory systems). • Strong communication, proactive attitude, and attention to detail. • Willingness to learn new techniques and
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culture. We encourage applications from individuals of all backgrounds and are dedicated to upholding equality and respect for our employees and students. General information: Contract Type: Fixed Term
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industrial Ph.D. position focused on developing scalable, Machine Learning (ML) pipelines for genomic and epigenomic biomarker discovery from Oxford Nanopore Technologies (ONT) long-read sequencing data
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can call on the support of a business developer active in the Industrial Liaison Network. More information on the network of IOF business developers .
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, budgets, compliance, data, and impact monitoring; engaging with internal and external partners to shape translational project proposals; ensuring alignment with VIB’s Innovation & Business and Communication
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, preferably in Python or R, and experience in the Linux environment Experience with large-scale data analysis, such as genomics or transcriptomics data Experience with a workflow management system such as
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preregistration on 30 June 2025 at the latest, via the FWO e-portal The 5 Flemish universities exchange the information about the preregistrations in order to detect possible collaborations. The promoter-supervisor
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not a requirement. You excel at organizing, managing, and structuring information. You have a positive mindset, are resilient under pressure, and adapt easily to changing circumstances. You are loyal
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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