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Experience1 - 4 Additional Information Eligibility criteria We are looking for a highly motivated, independent, and rigorous candidate with a PhD, excellent organizational skills, and proven ability to work in
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exploited by the tumorigenic process. Candidate profiles We are seeking highly motivated candidates with: A PhD (or near completion) in cancer biology, immunology, cell/molecular biology, or related fields. A
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Information Eligibility criteria -- PhD in population genetics -- Expertise in phylogenetics, high-throughput sequencing, and bioinformatic analyses -- Ability to write scientific articles and present results
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bioinformatics approaches to human-relevant models and unique patient-derived tissue cohorts from colorectal cancer. The aim is to dissect the tumor "ecosystem" with a particular emphasis on epithelial cells
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on the kleptoplastidy system, including sample preparation and bioinformatics analyses. - 3D imaging (3D electron microscopy and expansion microscopy) to characterize the kleptoplastidy in different conditions. The
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experiment. Finally, bioinformatics will be used to compare the sequences enriched in each experimental context (topology, addition of chemical modifications, medium composition). The most promising constructs
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with the totality of ISEM research groups and facilities, particularly the PEM and EvoDemo groups, and the Biodiversité Moléculaire and Bioinformatic facilities. Main mission : Produce theoretical and/or
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Required Education Level: Degree: PhD or master level Degree Field: Biology / Radiation Biology Biophysics Medical Physics Computational Biology Bioinformatics Applied Mathematics (with focus on biological
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and possible sources of exposure. Key Skills, Experience and Qualifications PhD in the field of Analytical chemistry/toxicology. High technical skills in analytical chemistry applied to the detection
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Additional Information Eligibility criteria The candidate should have a PhD in Biology/Evolutionary Biology and skills in bioinformatics and macroevolution (ideally models of phenotypic evolution