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, including parallelization, traceability, reporting and workflow orchestration through Nextflow. Collaborate with data/AI engineers, computational biologists, and experimental partners in both academia and
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and manage high‑throughput workloads on HPC or cloud infrastructure, including parallelization, traceability, reporting and workflow orchestration through Nextflow. Collaborate with data/AI engineers
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for an additional 3 years. In parallel, the applicant will be expected to actively seek independent funding and will be fully assisted in applying for personal fellowships, such as FWO PhD fellowships. Access
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in daily research. The successful candidate: has knowledge in general wet lab practice (e.g. tissue processing, DNA/RNA processing, molecular biology) and willingness to learn new techniques and
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beyond. You help define and improve processes, introduce practical ways of working, and support the gradual development of a project approach that fits VIB’s culture. You will report to the ICT Director of
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support process. Documentation & continuous improvement Document solutions, workarounds, and common issues in the knowledge base. Signal recurring problems or improvement opportunities to the team
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and process optimization wherever possible Build and foster a collaborative and open communication culture Manage financial planning, reporting, and project portfolios Represent the VIB Agro
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and communication skills; able to structure information and processes for effective decision-making. Fluency, oral and written, in English and Dutch Strong ability to monitor projects, identify gaps
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Description VIB.AI, the VIB Center for AI & Computational Biology, is a young research center dedicated to combining machine learning with in-depth knowledge of biological processes. Our mission is
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processing of the omics datasets will guide selection of differentially regulated key genes to be evaluated for their therapeutic potential in our YARS1 Drosophila and iPSC models. Guided by the unmatched