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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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, 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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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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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
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FWO-UGent funded bioinformatics postdocs: Unveiling the significance of gene loss in plant evolution
Job description We are seeking two highly motivated postdoctoral researchers to join our research team based in the Van de Peer lab, under the supervision of Prof. Dr. Zhen Li, Assistant Professor