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, spatial transcriptomics). 3: Creating bespoke analytical pipelines for analysis of Drosophila spatial transcriptomics data. The successful candidate will also be expected to contribute to the formulation
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transcriptional regulation from multi-omics data; computational method development for single-cell epigenomic sequencing and image-based spatial-omics data analysis; computational and experimental studies
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Dalhousie University | Halifax Mid Harbour Nova Scotia Provincial Government, Nova Scotia | Canada | about 15 hours ago
Position Details Position Information Position Title ERP Project Manager Research Project Department/Unit Enterprise Application Services Location Halifax, Nova Scotia, Canada Posting Number S077-26
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targets. Main activities: - Bioinformatic analysis of WES and RNA-seq data. - Variant calling, annotation, and mutational signature analysis. - Differential gene expression and pathway analyses
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Additional Information Website for additional job details https://emploi.cnrs.fr/Offres/Doctorant/EMR8001-CARDRI-001/Default.aspx Work Location(s) Number of offers available1Company/InstituteChildren's
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. -Experience in molecular biology and with C. elegans genetics -Strong verbal and written communication skills. -Attention to detail and training in research methodology and quantitative data analysis. Key
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8 Apr 2026 Job Information Organisation/Company Paul Scherrer Institut Villigen Research Field Chemistry » Physical chemistry Physics » Chemical physics Chemistry Researcher Profile Recognised
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advanced data analysis utilizing Excel or similar software, developing Tableau dashboards to support decision-making, and applying AIâ‘enhanced analytical tools to improve forecasting, reporting, and
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of the SciLifeLab Integrated structural biology platform https://www.scilifelab.se/units/structural-proteomics/ The unit provides access to cutting-edge equipment and expertise, for the analysis
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for the analysis of multi-source Earth observation data. In addition, the work will involve hybrid approaches integrating remote sensing with agro- meteorological models, in order to improve the detection and