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validate the identified key (epi)genetic molecular and explore their therapeutic potential in vitro and in vivo disease models. Profile The candidate should: have an MSc in Systems Biology, Molecular Biology
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Immunology or Neuroimmunology Experience in working with mouse models (FELASA B or C required) Strong organizational and communication skills, with an ability to work independently and collaboratively. Ability
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students and postdoctoral researchers to probe macrophage functions across tissues using a range of novel mouse models, transcriptomics and epigenetics techniques, flow cytometry and spatial analyses
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programming, data processing, model evaluation, and ethical considerations in AI. Develop interactive and hands-on exercises to enhance learning experiences. Conduct training for researchers related
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commitment are essential. Access to state-of-the art tools and infrastructure within an excellence-based research institute. A stimulating and supportive international research environment. Various training
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implementation of secure, standards-based infrastructure for sharing and analysing genomic data. Communicate progress, outcomes, and risks effectively to the VIB Data Core team and wider collaborators. Contribute
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, CRISPR/Cas9 gene editing, viral vectors, conditional knockout mice, optogenetics, and in vivo imaging. The successful candidate will be based in Leuven, Belgium. The two labs will interact regularly via
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sequencing-based spatial gene expression profiling (e.g., 10X Genomics Chromium and Visium HD). This new role will focus on workflow management, project triage, and technical coordination of cross-platform
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guidance to our user base in the analysis of generated data. Additionally, the candidate will be instrumental in expanding our training program offerings, with a particular emphasis on computational
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. Their findings aim to unlock plant specialized metabolism for numerous human applications given these serve as a novel resource for engineering tools that will facilitate 1) the creation of (plant-based) synthetic