83 modeling-and-simulation-"UNIVERSITY-OF-SOUTHAMPTON" Postdoctoral positions at MOHAMMED VI POLYTECHNIC UNIVERSITY
Sort by
Refine Your Search
-
-of-the-art infrastructure. With an innovative approach, UM6P places research and innovation at the heart of its educational project as a driving force of a business model. All UM6P programs run as start-ups
-
(MD) simulations, enabling the computational investigation of material properties, electronic structure, and atomic-scale behavior, particularly in the context of all-solid-state batteries. Showcase
-
assemblies, ideally with a focus on battery materials. Demonstrated proficiency in Density Functional Theory (DFT) and/or Molecular Dynamics (MD) simulations, enabling the computational investigation
-
for conducting research on climate variability assessment and hydrological modeling at the catchment scale. The selected candidate will engage in cutting-edge research that bridges the disciplines of climate
-
valorization is essential. Required Knowledge: Solid knowledge of acid-base equilibria, and carbonate system modeling. Good understanding of calcium carbonate behavior and dissolution kinetics. Hands
-
CBS - Postdoctoral Position, Artificial Intelligence Applied to Metabolomics for Health Applications
disorders, and microbiome-related health issues by applying advanced AI/ML techniques for biomarker discovery and metabolic network modeling. Scientific Challenges Addressed in the Position: High
-
1400 large container (mini-plots) to study water dynamics and drought scenarios simulation under close-to-field conditions, and (ii) a fully autonomous phenotyping robot, Phenomobile.v2+, equipped with a
-
efficiency, ion separation rates, energy consumption, etc. Model ion transport and system behavior under different operational conditions. Collaborate with researchers in diverse projects and contribute
-
for comprehensive systems biology modeling. Identification of causal relationships and biomarker discovery through integrative approaches. Time-series and longitudinal multi-omics data analysis for disease
-
. without vegetation. Studying dust deposition and its impact on energy performance. Analyzing meteorological, soil, and energy production data. Contributing to the modeling of PV performance under local