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FieldEnvironmental scienceYears of Research ExperienceNone Additional Information Eligibility criteria - Proficiency in bioinformatics tools - Knowledge of genomics and quantitative genetics - Interest in functional
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candidate, with a strong background in the development of machine learning methods for bioinformatics. The project focuses on the development of new neural network architectures to perform inference
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department and the Plant Reproductive Strategies (SRP) team. Our team focuses on the evolution of plant reproductive systems, using diverse approaches including theory, experimentation, bioinformatics, and
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interactions. We are looking for an enthusiastic and versatile postdoctoral researcher to apply existing bioinformatic methods and develop new pipelines to analyze and interpret high-throughput sequencing data
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, clinical and histological data in a translational framework. Main activities: - Bioinformatic analysis of WES and RNA-seq data. - Somatic variant detection and annotation. - Statistical and clinical
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the southern area of Grand Paris. We offer an international, highly collaborative research environment with access to state-of-the-art core facilities, including advanced imaging, genomics, and bioinformatics
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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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biology, bioinformatics, computer science, biology, or a related discipline, Strong interest in applying quantitative approaches to complex biological and biomedical questions Solid computational skills
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antitumor immune responses. Your profile: PhD in the field of biology Expertise in the field immuno-oncology and bioinformatic is a plus Strong technical background & know-hows in molecular biology, cell
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the diet of mesocarnivores; 3. Detailed analysis and study of a potential specialization of the red fox's diet. The main activities will be: ● Bioinformatic analyses These sequences will be matched with