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motivated Senior Post-Doctoral Researcher to lead and coordinate the bioinformatic research activities across three large, multi-site human cohorts in Europe. The successful candidate will oversee
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bioinformatics communities, including in Cancer Research Communications (https://doi.org/10.1158/2767-9764.CRC-25-0030 ; presented and highlighted at the AACR Annual Meeting 2025), Science Advances (https
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position at Lund University! National Bioinformatics Infrastructure Sweden (NBIS; https://nbis.se ) is a large national infrastructure in rapid development providing support, tools and training
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experience may substitute for minimum qualifications except when there are legal requirements, such as a license, certification, and/or registration. Desired PhD in bioinformatics, biology, genetics
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, bioinformatics, statistical analysis, and data visualization. The Postdoctoral Research Scientist is expected to perform the aforementioned tasks under the guidance of the PI, provide preliminary analyses
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to biological data. PREFERRED QUALIFICATIONS: PhD in Bioinformatics, Computational Biology, Computer Science, or a related field Experience applying deep learning or foundation-model approaches to sequence-based
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The University of British Columbia (UBC) | Vancouver UBC, British Columbia | Canada | about 22 hours ago
must have strong understanding of genetics and molecular biological techniques, coupled with demonstrated bioinformatic skills. Experience in analyses of ChIP-seq and RNA-seq data would be an asset. JOB
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research ranging from lattice light-sheet microscopy to CryoEM, genomics, and informatics. You will work with PhD-level bioinformatics scientists and researchers who have single-cell RNA-seq and spatial
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Universitätsklinikum Heidelberg – UK Mannheim GmbH | Mannheim, Baden W rttemberg | Germany | 2 days ago
skills: PhD in biomedicine, bioinformatics, computational biology or a related discipline Profound experience with bioinformatic tools for scRNAseq, NGS, spatial transcriptomics Knowledge of statistical
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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