Sort by
Refine Your Search
-
Listed
-
Field
-
by the CNRS, the postdoctoral researcher will be responsible for contributing to the development of advanced methodologies for predicting crystal structures (CSP) based solely on their chemical
-
Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description The agent will be required to conduct experiments
-
, based on small grains of scintillating crystals (produced by ISMA). The scintillation light is captured nearby its production site by wavelength shifting fibres allowing for a fine sampling of the
-
(Principal Components Analysis, Factorial Analysis) - Knowledge of some regression analyses (generalised linear models, machine learning-based regression, redundancy analysis, etc.) - Ideally, working
-
Description You will: * Lead MEG head-cast data collection for a visuomotor reaching/interception study, ensuring robust synchronization with video-based kinematics and eye-tracking, and enforce rigorous
-
diverse metabolic processes such as cofactor biosynthesis, peptide modification, post-translational modifications, and antibiotic biosynthesis. They operate via a radical-based mechanism that uses a 4Fe–4S
-
collaboration with Michelin, is to develop surrogate models capable of rapidly approximating the simulator's results while accounting for uncertainty. Particular attention will be paid to the model's lightness
-
models that account for the dynamics of the actin polymer population in the cell cortex. The analysis will be carried out using probability theory and simulation tools, and will be based on a real effort
-
neuroscience or a related discipline. Candidates must have previous practical experience and working knowledge of human neuroimaging (eg. model-based fMRI). The candidate must also have working knowledge
-
EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description The postdoctoral researcher will be part of a team involved in modelling and observations