Sort by
Refine Your Search
-
Listed
-
Employer
-
Field
-
strong track record of research and publications. Experience with in vivo models and/or immunology (highly desirable). Skills in bioinformatic analysis (e.g., scRNA-seq) are an advantage. Ability to work
-
with the totality of ISEM research groups and facilities, particularly the PEM and EvoDemo groups, and the Biodiversité Moléculaire and Bioinformatic facilities. Main mission : Produce theoretical and/or
-
, bioinformatics, and phylogenetic modeling will be appreciated. Website for additional job details https://emploi.cnrs.fr/Offres/CDD/UMR9191-ARNLER-006/Default.aspx Work Location(s) Number of offers
-
scientific developments. Dedicated support from highly skilled specialists in bioinformatics and statistics, helping you strengthen your research with cutting-edge analytical approaches. Access to state
-
Additional Information Eligibility criteria The candidate should have a PhD in Biology/Evolutionary Biology and skills in bioinformatics and macroevolution (ideally models of phenotypic evolution
-
physiology. It is equipped with high-end technology platforms staffed for plant production, DNA sequencing and digital qPCR, bioinformatics, proteomics, microscopy, protein production and metabolomics
-
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
-
; - interact closely with the team of Dr. François Robin (Sorbonne University), project partner for the development of experimental results and bioinformatics approaches; - develop statistical tools
-
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
-
international collaborators. - Production of viruses and infection in an L3 containment laboratory - High-throughput sequencing and bioinformatics analysis - Microscopy (RNA and proteins) - CRISPR genetic