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and technicians and develop an independent research profile Access to state-of-the-art infrastructure A stimulating, diverse international world-class research environment Animal models, expertise in
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(www.aertslab.org), led by VIB.AI Scientific Director Stein Aerts, is seeking a talented postdoctoral researcher to develop next-generation sequence-to-function models for glioblastoma (GBM). Glioblastoma is the most
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Alzheimer’s disease to develop and/or apply computational approaches to large scale genomic or transcriptomic datasets for identification of targets for early detection, prevention or treatment of Alzheimer’s
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malignancies. What you will do As a postdoctoral researcher, you will: Analyse multiomic long-read and single-cell data from patient samples to develop novel biological insights Contribute to recently funded
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for internal and external projects, bringing it up to industry standards. You will Develop and optimize the specificity assay for biologics, with technical support. Identify and assess innovative applications
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develop and apply implement cryo-FIB lamella preparation, cryo-ET and subtomogram averaging to resolve centrosomal assemblies in near-native contexts. You will also use immunohistochemistry to trace
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motivated and enthusiastic colleague with strong iPSC experience and disease modelling skills to join our team. About the project The ultimate goal of this project is to develop and apply advanced human iPSC
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to develop multiplex genome editing systems in sorghum, tropical maize and rice, leading to the identification of gene combinations strengthening seedling vigor. We are seeking a highly motivated, critical and
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are looking to recruit a post-doctoral researcher to develop and utilize cell based CRISPR screens to investigate DNA repair genes. The project straddles fundamental research with immediate applications in
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short- and long-read whole genome sequencing datasets. This position provides the opportunity to develop and apply advanced bioinformatics tools and conduct innovative analyses, including integrating long