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Field
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Join MultiD Analyses AB and the University of Gothenburg to develop innovative bioinformatics and machine learning methods for RNA Fragmentomics, with the ambition to improve cancer care through
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University Medical Center (UMC). Our research groups offer projects in: Ageing & disease RNA biology DNA repair & genome stability Epigenetics & nuclear dynamics Computational biology Gene regulation
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modifications, DNA methylation and gene regulation. Hands-on experience with molecular biology techniques, such as DNA/RNA extraction, qPCR, RT-qPCR and next-generation sequencing (NGS)-based approaches
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mammalian cell cultures. Experience with molecular and cellular biology techniques, such as DNA/RNA extraction, PCR/qPCR, immunofluorescence or related methodologies. Experience with flow cytometry and/or
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single-nucleus RNA sequencing (scRNA-seq/snRNA-seq) is an advantage. Knowledge of data analysis methods, including statistical software and transcriptomic analysis pipelines is an advantage. Excellent
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: The PhD will involve embryo culture and manipulation, microinjection, CRISPR-knockouts, interference-knockdowns, HCR whole-mount in situ hybridization, confocal microscopy, single-cell RNA sequencing
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Miscanthus genotypes, in collaboration with colleagues in IBERS-Aberystwyth. You will generate and analyse RNA-seq and DNA methylation data to measure homoeolog-specific expression, identify non-additive
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; ▪ Experience in laboratory work and knowledge of cell biology techniques (cell culture maintenance), molecular biology techniques (RNA and protein isolation, RT-PCR and Western Blot) and/or chemistry (organic
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state-of-the-art single-cell RNA sequencing (scRNA-seq) alongside bulk and single-cell epigenomic assays. o Data Integration: Collaborating with data scientists to map molecular signatures to clinical
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through the Merino Group and its international collaborators, including large-scale genome-wide association studies, single-cell RNA sequencing datasets, epigenomic maps, and deeply phenotyped human cohorts