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genetics of disease models, human pluripotent stem cells derived neurons, high content imaging, electrophysiology, single cell RNA sequencing, bioinformatics, and spatial transcriptomics technologies. We
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this specificity and test how these regulate structure and function of higher-order thalamocortical inputs in cortical circuits. The applicant will use various technologies, including super-resolution imaging
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dissection is a plus; is willing to work with mice (surgery, perfusion and brain dissection of adults and embryos); has a Felasa B certificate or is willing to acquire it in the short term; has basic knowledge
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incoming project requests and manage timelines and deliverables. Support experimental planning and study design, bridging spatial imaging and sequencing-based approaches. Help define optimal
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Knowledgeable RGB, thermal and hyperspectral camera’s Interest in image-based plant phenotyping Key personal characteristics You are enthusiastic and curious about scientific research You like learning new
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Chromatography applications (GC-MS), including sample preparation and customization of data processing workflows. Contribute to the day-to-day operations of the VIB Metabolomics Core. Conduct essential wet
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, transcriptomics, proteomics, metabolomics, single cell and/or genotyping data. Microbiology techniques is a plus but not required. Experience in molecular biology techniques for processing and analysis of DNA and
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the team 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
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. Manage the transition of proteins from R&D through to commercialization, ensuring that all processes are cost-effective, efficient, and aligned with the company’s growth objectives
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FWO-UGent funded bioinformatics postdocs: Unveiling the significance of gene loss in plant evolution
, or related fields Strong programming skills in Python, R, and experience with Linux environments Demonstrated experience in processing and analyzing large-scale genomic and transcriptomic datasets