Sort by
Refine Your Search
-
Listed
-
Employer
- CNRS
- Institut Pasteur
- Nantes Université
- Nature Careers
- Mediterranean Institute of Oceanography
- Université Savoie Mont Blanc
- Université de Caen Normandie
- Aix-Marseille University
- Aix-Marseille Université
- BENAJIBA team - INSERM U1342 - Saint-Louis Research Institute
- Consortium Virome@tlas
- FRANCE ENERGIES MARINES
- French National Research Institute for Sustainable Development
- INSERM
- Institut of Mathematics of Marseille
- UNIVERSITE PARIS CITE
- Universite de Montpellier
- Université Marie et Louis Pasteur
- 8 more »
- « less
-
Field
-
cell/bulk and spatial transcriptomic-, epigenomic- proteomic- and microscopy-based approaches. Selected publications: Maslah N, Kaci N, Roux B, Alexe G, Marie R, Pasquer H, Verger E, De Oliveira RD
-
, electrocardiogram). Advanced skills in statistical analysis and modeling, particularly in cross-frequency coupling, with proven experience using Python and R environments. Proven experience in experimental research
-
Postdoctoral researcher in the analysis of single-cell and spatial transcriptomics experiments (M/F)
(language R). - Fonctional validation using organoids. The CNRS (National Center for Scientific Research), certified HR Excellence in Research, is one of the world's leading multidisciplinary public research
-
a collaboration between Inria and Mitsubishi Electric R&D Centre Europe (MERCE) within the FRAIME project on artificial intelligence and formal methods. The project explores, on the one hand, how
-
periodic time series. Responsibilities also include coding the proposed algorithms in R or Python, such as methods for splitting periodic time series into regeneration blocks, and applying them to real
-
the proposed algorithms in R or Python, such as methods for splitting periodic time series into regeneration blocks, and applying them to real biomedical datasets. The role requires the ability to effectively
-
predictive modelling Public policy evaluation Management and analysis of survey data Software proficiency Statistical and econometric packages such as Stata, R, or Python GIS software (QGIS, ArcGIS
-
such as chemical analyses, microbial culturing, isotope tracing, or data modeling is highly desirable. • Proficiency in data analysis tools (e.g., Python, R, or MATLAB) and excellent command of English
-
: mastery of variant calling protocols, programming/scripting languages (Python, R, bash), the use of computing clusters, and FAIR practices. This project also requires a good command of evolutionary genomics
-
statistics and/or machine learning Specific knowledge • Proficiency in scientific computing • Knowledge of machine learning packages in Python or R • Proficiency in English (minimum level B2), as the postdoc