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international team of the Nelissen lab and will work alongside scientists to maintain hardware and software of phenotyping robots. This role involves working closely with the other members of the team
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FWO-UGent funded bioinformatics postdocs: Unveiling the significance of gene loss in plant evolution
with explainable AI (e.g., SHAP) Experience with high-performance computing and software containers Experience with software development tools (e.g., git, Nextflow) We offer The VIB-UGent
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bioinformaticians, software engineers, and system administrators to enhance research workflows. Troubleshoot and resolve operational issues efficiently. Contribute to documentation and knowledge sharing within
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knowledge of flow cytometry analysis software (e.g., DiVa, FlowJo). Dedication to serving the scientific community with best-practice flow cytometry data analysis. Proficient experience with programming
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. Report daily to the Head of Flow Core. Profile Professional bachelor in life sciences or industrial engineer with previous lab experience Experience with flow cytometry, FACS, and analysis software (e.g
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administration and related software platforms (note that administration will be at least 50% of the work load eg cell culture collection program, ordering platform) Service-minded, positive, flexible and easily
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environments Extensive hands-on microscopy experience Knowledge of basic image analysis tools, including commercial software implementations Main activities Discuss experimental design, including sample
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social and communication skills, meticulous, well-organized, and structured. Financial project management experience. Proficiency in general Office packages, financial tools and ERP software. Ability
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of software and pipelines. Job description and tasks As our bioinformatician and data manager, you will work closely with the PI, postdocs, and PhD students in the team. You will be responsible for maintaining
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analysis software, such as MZmine Programming skills in R Hands-on experience with untargeted high-resolution mass spectrometers Key personal characteristics Willingness to participate in interdisciplinary