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Field
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-of-the-art analytical and molecular technologies including Pyrolysis-GC/MS, Raman spectroscopy, confocal microscopy, electron microscopy, transcriptomics, proteomics and ICP-MS. This is an opportunity to join
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Max Planck Institute for Heart and Lung Research, Bad Nauheim | Bad Nauheim, Hessen | Germany | 14 days ago
diseases. Our group investigates how cells sense stress, mount adaptive responses, and restore homeostasis to maintain cellular resilience. We combine human cellular models with transcriptomic and proteomic
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, integrate genomics, epitranscriptomics and transcriptomics data, and contribute to the development of novel systems biology and bioinformatics methods for RNA therapeutic target discovery. The project is led
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strong asset.•Experience in the analysis of high-dimensional biological data (single-cell or spatial transcriptomics, digital pathology or biomedical imaging) is an advantage.•Comfortable working on Linux
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International Centre for Translational Eye Research / Institute of Physical Chemistry, Polish Academy of Sciences | Poland | 4 days ago
will join a multidisciplinary and dynamic Computational Genomics Group led by dr Marcin Tabaka and leverages experimental and computational approaches in high-throughput single-cell transcriptome and
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NE*, Wang G* et al. Enhancing transcription replication conflict targets ecDNA-positive cancers. Nature 635, 210-218 (2024). PMID: 39506153 Wang G, et al. Spatial organization of the transcriptome in
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to profile tumour and immune cells in melanoma organoid co-cultures and live tissue slices. At Erasmus MC, the candidate will work to combine spatial FUNseq with single-cell genome and transcriptome sequencing
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to collaborative, multidisciplinary research teams Preferred: Postdoctoral or equivalent advanced research experience in leukemia research Expertise in genomic, transcriptomic, and multi-omics data analysis
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and apply machine learning and deep learning models to analyse complex, multi-dimensional datasets, including spatial transcriptomic, proteomic, and single-cell sequencing data. The candidate will
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therapeutic approaches. Advances in proteomic, genomic and transcriptomic technologies offer powerful opportunities to address these challenges. This fully funded studentship forms part of the LifeArc Centre