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in Statistics, Bioinformatics, Computer Science or other relevant disciplines with a strong quantitative background. Previous experience working with large scale data are welcome. Contact: Interested
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human primary cell cultures, microscopy and image analysis, and bioinformatics skills will be highly considered. Required languages: French and/or English. To apply Please contact Dr Valérian Dormoy
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international collaborators. - Production of viruses and infection in an L3 containment laboratory - High-throughput sequencing and bioinformatics analysis - Microscopy (RNA and proteins) - CRISPR genetic
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linked bioinformatics analysis Collaborate with international partners to achieve research goals Prepare manuscripts for publication in peer-reviewed journals Present research findings at national and
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-IRMS, and isotopic approaches to quantify nitrogenase activity Bioinformatics ->Omics data analysis, metabolic networks Scientific and technical skills required of the candidate The candidate must have
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animal experimentation (mice) Solid knowledge in bioinformatics Excellent command of written and spoken English Operational skills/expertise : Proficiency in standard protein biochemistry techniques
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equipment, particularly in imaging and electron microscopy, image analysis, and bioinformatics. The team is composed of five people. The thesis will be carried out as part of a collaborative ANR project
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LanguagesFRENCHLevelBasic Research FieldPhysicsYears of Research ExperienceNone Additional Information Eligibility criteria - Strong experience in bioinformatics, particularly in molecular phylogeny and comparative genomics
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. cerevisiae yeast . Expertise in omics methods. . Preferred: ability to perform bioinformatic analyses Interpersonal skills. Independence. Ability to work in a team and adapt to the needs of colleagues
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Mediterranean Institute of Oceanography | Marseille, Provence Alpes Cote d Azur | France | 2 months ago
studies in a relevant natural science discipline (e.g. bioinformatics, genetics, microbiology, computational biology, ecology). Required skills: Knowledge and experience in genomic sequence data analysis