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and biochemical characterization of bromodomain-histone interactions, analysis of Bdf1-chromatin interactions in cells by fluorescence microscopy, and transcriptomic profiling by RNA sequencing
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grant proposal writing, and related tasks. Further development and practical implementation of innovative MRI acquisition and data analysis methods. Providing scientific and methodological support and
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models Image analysis and quantitative data analysis Excellent written and verbal communication skills. Completion of a doctoral degree in the appropriate discipline is required. The doctoral degree must
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information, and/ or data analysis are strongly encouraged to apply, as these skills will be preferred in the selection process. This appointment duration is up to three years, with reappointment contingent
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for this position will specifically study the links between galaxies and their cosmological environment through their morphology and intrinsic alignment. This work will be based, on the one hand, on an analysis
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, microstructure, and properties. Data analysis and preparation of scientific papers, reports, and conference contributions. Mandatory requirements: PhD in Materials Engineering, Metallurgical Engineering, or
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expertise on epigenetic and epitranscriptomic modifications, DNA repair and genome (in)stability, single-cell and single-nucleotide analysis, embryology and healthy development. Read more about CRESCO here
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Sequencing data analysis will be desirable but not required. Individuals will benefit from trainings in orthotopic lung cancer and/or pancreatic cancer metastasis models, metabolomics/lipidomics, metabolic
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slide imaging analysis in computational pathology is essential. Applicants should have a solid publication record and demonstrated experience in computer vision or analysis of pathology images
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statistical analysis of proteomic, phosphoproteomic and related multi omics datasets. The role will contribute to the School's research activity by developing robust, reproducible analytical workflows