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, bioinformatics, aging biology, epidimological data and AI-driven systems modeling. The successful candidate will develop and apply computational and machine learning approaches to decode the molecular and
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in various molecular biology techniques, animal models, flowcytometry, utilization of bioinformatics tools, application of statistical methods and supervision of research scientists. Experience
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to apply Website https://www.abg.asso.fr/fr/candidatOffres/show/id_offre/133647 Requirements Specific Requirements •PhD in cell biology / biotechnology •Solid experience in cell culture (primary cells
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, manuscripts, and contributions to grant applications. Entry requirements To quality, the applicants must hold a PhD in computational biology or bioinformatics and have strong knowledge of RNA biology and
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applications. Entry requirements To quality, the applicants must hold a PhD in computational biology or bioinformatics and have strong knowledge of RNA biology and biomedical sciences. Experience with sequencing
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healthcare. Qualifications Required: PhD (or equivalent) in computer science, statistics, biostatistics, electrical/biomedical engineering, or related quantitative field. Strong background in machine learning
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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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, you have: A PhD in marine biology, molecular ecology, bioinformatics, or a related field. Experience in eDNA library preparation and high-throughput sequencing workflows. Experience in molecular
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team for sample processing and wetlab assay optimization Data interpretation and reporting for drug screens on individual patients Your profile What you bring for this position: PhD in a relevant subject
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of the scientific community. In addition, you have: A PhD in marine biology, molecular ecology, bioinformatics, or a related field. Experience in eDNA library preparation and high-throughput sequencing workflows