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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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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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mechanistic insight into the impact of WGDs on the evolution of molecular systems. In this project, we will use a mechanistic, sequence-based genotype-phenotype mapping model in combination with population
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Amplicon sequencing analysis Grant and manuscript writing Guide students and work with technicians Profile Candidates must have a PhD in (Plant) Biotechnology, Molecular Biology, Biochemistry or equivalent
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Ecosystem Services (ES) assessment methods to support decision-makers in evaluating OWF impacts across all development stages and scales, and for multiple OWF design configurations. By combining life-cycle
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cancer driver mutations. We aim to bridge the gap between somatic genotypes and phenotypes using cutting-edge approaches including long-read sequencing (PacBio, Nanopore), single-cell multiomics (e.g. doi
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to mentoring junior lab members and participate in grant writing and dissemination activities Develop and execute strategies for cloning, genotyping, RNA sequencing, stress assays Contribute to a collaborative
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or treatment of Alzheimer’s disease. Position Lead and conduct the processing and statistical analysis of large-scale long-read RNA and DNA sequencing, single nuclei RNA sequencing and spatial transcriptomics
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organization, and how these properties are altered by pathological processes across multiple biological scales. The position is available in the team of Dr. Andra C. Dumitru in the nBIO group at LIBST, UCLouvain
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of neurodegeneration, totaling to over 1,500 human brain samples. Using an array of -omics techniques, e.g. long read DNA sequencing, single nuclei transcriptomics and multi-modal proteomics, the team aims to identify