Sort by
Refine Your Search
-
, workshops, and conferences, providing opportunities for professional development and scientific exchange. This collaborative dynamic, combined with the location in Grenoble, Where to apply Website https
-
during data collection. Where to apply Website https://emploi.cnrs.fr/Offres/CDD/UMR7077-NADTIR-004/Default.aspx Requirements Research FieldNeurosciencesEducation LevelPhD or equivalent Research
-
experimental physics, nanofabrication, low temperature measurements, THz optics, Python programming would be an asset. Website for additional job details https://emploi.cnrs.fr/Offres/CDD/UPR2940-ELOBER-173
-
cluster. Access to Jean Zay is also possible. Where to apply Website https://emploi.cnrs.fr/Offres/CDD/UMR8190-SARSAF-005/Default.aspx Requirements Research FieldMathematicsEducation LevelPhD or equivalent
-
by Bianca HABERMANN. As the laboratory comprises members of various nationalities, fluency in English is essential. Where to apply Website https://emploi.cnrs.fr/Offres/CDD/UMR7288-AMBGUA-024
-
with collaborators involved in genomic and bioinformatic analyses. Where to apply Website https://emploi.cnrs.fr/Offres/CDD/UMR8261-ZEYTAD-002/Default.aspx Requirements Research FieldChemistryEducation
-
additional years Where to apply Website https://emploi.cnrs.fr/Offres/CDD/UMR8079-TATGIR-024/Default.aspx Requirements Research FieldBiological sciencesEducation LevelPhD or equivalent Research
-
analyze multi-omic data provided by our collaborative partners and interpret the results from a biologically relevant perspective. Planned activities include Python code development, the analysis and
-
postdoctoral researcher to join our group at the Institute of Genetics and Development in Rennes (IGDR), France (https://igdr.univ-rennes.fr/en ). Research in the Cyclochondria team led by Giulia Bertolin (https
-
(interactive phylogenetic trees, Sankey diagrams). Report generation and statistical analysis • Statistical analysis of viral abundances (Wilcoxon, ANOVA), regression models (R, Python: statsmodels, scikit-learn