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Field
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of an independent scientific career. Requirements PhD in Neuroscience, Bioinformatics, Computational Biology, or related field Proven track record in relevant techniques for the position applied Proficiency in
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international research initiatives. This position offers an exceptional opportunity to work at the intersection of genomics, bioinformatics, and translational science. Baylor College of Medicine typically follows
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analysis of multiple disease-specific datasets and contribute to the development of novel methodologies in this space. The ideal applicant will have a strong background in bioinformatics methods and a keen
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; experience performing metabolic analysis using mass spectrometry, especially in complex matrices; experience with metabolomic pathway bioinformatics analysis and development of rapid point-of-use analytical
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in molecular biology, cellular biology, AI-based bioinformatics, and mouse models required, which includes single-cell RNA sequencing and data analysis, hydrodynamic injection, hepatocyte isolation
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resources. Requirements PhD in Biomedical Sciences, Bioinformatics, Stem Cell Biology, Epigenetics, Computational Biology, or a closely related field. At least 3–5 years of postdoctoral experience with a
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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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About the Role We are seeking to recruit a motivated Postdoctoral Research Assoicate with a PhD degree and interest in bioinformatics or computational biology. The candidate will develop methods
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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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. About You Applicants for this Postdoctoral Research Associate post are expected to have a PhD plus some post-doctoral research experience in cell and molecular biology combined with bioinformatic analysis