Sort by
Refine Your Search
-
Listed
-
Employer
- CNRS
- Inria, the French national research institute for the digital sciences
- Arts et Métiers Institute of Technology (ENSAM)
- Ecole Normale Supérieure
- Inserm
- Institut de chimie des milieux et matériaux de Poitiers - Equipe SAMCat
- Nature Careers
- University of Reims Champagne-Ardenne (URCA)
- Université Paris-Saclay GS Mathématiques
-
Field
-
science, or a related field. Strong background in quantitative methods and statistical analysis. Experience with computational tools for large-scale data analysis (e.g., Python, R, SQL). Familiarity with
-
., Zimmermann V., Dardalhon V., Campillo Poveda M., Turtoi E., Thirard S., Forichon L., Giordano A., Ciancia C., Homayed Z., Pannequin J., Britton C., Devaney E., McNeilly T. N., Berrard S., Turtoi A., Maizels R
-
of stochastic systems, and possibly reinforcement learning / POMDPs; ● Has, or will soon acquire, skills in Python or R (or equivalent); ● Is willing and able to move between ENS in the Paris region and SETE in
-
Compétences approfondies de programmation en R ou Python Une première expérience d'analyse de données génomiques ou en biostatistique est recommandée. Forte appétence pour le travail multidisciplinaire et en
-
/nanotechnologies, microelectronics or materials. • English language (B2 to C1). • Experience (projects or internships) linked with R&D and physical measurements will be welcome. Operational skills : • Listening
-
have excellent skills in analyzing human behavior and be proficient with experimental and data processing software (E-Prime, Matlab, R), statistical analyses including linear mixed-effects models, as
-
University of Reims Champagne-Ardenne (URCA) | Reims, Champagne Ardenne | France | about 1 month ago
involved in the performative dimensions of gastronomy from the late 19th century to the present day. Expected results: R.1: a curated digital resource of menus and artifacts from the 19th to the 21st
-
(sequence homology- or protein structure-based) Familiarity with UNIX/LINUX-based operating systems and shared compute infrastructure Proficiency in Python, R, or similar languages for data analysis
-
. Loubière, T. Neveux, R. Privat, and T. Nabil. “Representation Learning for Flowsheets: Generating Structures for Process Synthesis”. In: ESCAPE34- PSE24 Books of Abstracts. 2024, p. 01. doi: 10.3303/BOA2401
-
. Good command of biostatistics (database management, use of R software) as well as an excellent level of English are essential. As eDNA data are amplified and sequenced independently, the involvement