Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
-
Field
-
using imaging, proteomics and biochemistry. Supervision and training. Expected skills: General knowledge of chemistry and biology, basic concepts in mathematics, statistics and physics. Health and safety
-
to work independently, is highly motivated, has a strong interest in social and health neuroscience, and excellent skills in quantitative methods, statistics, and project management. Experience in
-
for data collection, statistical analyses, manuscript preparation, and presenting results at international conferences. Main tasks include: - Implementing controlled breeding experiments to assess
-
: electronic structure calculations (plane wave DFT if possible), statistical thermodynamics, molecular dynamics. Skills in Python, bash scripting, Fortran 90 and machine-learning would be appreciated. The PIIM
-
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
-
cell culture and cellular assays. • Strong skills in experimental data analysis, bioinformatics tools, and statistical analysis. • Knowledge and compliance with current health and safety regulations in
-
, Communication, Optimization • SyRI: Robotic Systems in Interaction The PhD student will join the CID team, whose research focuses on Artificial Intelligence, including statistical learning, uncertainty management
-
skills : We expect a candidate with a strong background in machine learning or statistics. The candidate must also be proficient in high-level languages like Python. Familiarity with single-cell date and
-
activities: - This research is based on a detailed analysis of atmospheric measurements from a multi-sensor network (remote sensing and surface stations) using statistical analysis and a physical understanding
-
Inria, the French national research institute for the digital sciences | Montbonnot Saint Martin, Rhone Alpes | France | 3 months ago
Python and good analytical skills. A good background in probability/statistics and deep learning is expected. Knowledge of differential privacy and/or fairness is a plus, but not necessary. The candidate