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Field
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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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doctoral degree in epidemiology, biostatistics, bioinformatics, microbiology, or a related field Strong quantitative and statistical skills, with proficiency in R or Python Experience working with
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, or transitions to faculty. The position is optimal for applicants wanting to a) link multi-omic patient results to mechanistic, causal biology; b) eager to integrate wet-lab experiments with advanced bioinformatic
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science/AI, bioinformatics, or related fields. Strong research capability, interdisciplinary communication skills, and proficiency in scientific English are required. Experience in AI/ML, programming (Python/R
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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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, cloning, microscopy/biological imaging, FACS, bioinformatics, and/or protein biochemistry. A strong publication record in relevant fields demonstrating these skills is highly preferred. Additional
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, and enthusiastic individuals who are passionate about contributing to impactful research in the field of aquaculture, bioinformatics and related life sciences Job Description: A/Prof.s Ajay Mathuru and
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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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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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biology, bioinformatics, computer science, biology, or a related discipline, Strong interest in applying quantitative approaches to complex biological and biomedical questions Solid computational skills