Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Field
-
: Introduction to experimental techniques and data analysis in optical research. Requirements: PhD in Experimental Physics, with a focus on nonlinear optics. Experience in experimental research on nonlinear
-
and architectures and their issues questions for very high data-rate wireless communication. Lab in a chip, small, low-cost, and multi-functional devices, systems, and industrial and medical
-
. Qualifications: Master’s degree in Project Management, Engineering, Business Administration, or a related field. Contact Information: For questions or more information, please get in touch with
-
funding for research projects. Contact Information: For questions or more information, please get in touch with Abdelouahed.elfatimy@um6p.ma
-
. Proven ability to engage in innovative research and contribute to industry collaborations. Contact Information: For questions or more information, please get in touch with Abdelouahed.elfatimy@um6p.ma
-
coefficient modeling. Experience in integrating modeling with leaching and separation processes for scale-up. Advanced data interpretation using electron diffraction, dendritic growth modeling, and REE behavior
-
tower together with numerous ancillary data related to water, carbon and nutrient cycles (Christina et al. 2017). The soils at this site are deep Ferrasols (FAO classification) developed on Cretaceous
-
GSMI - Postdoctoral Researcher - Plant Ecology and Soil-Plant Interactions in Vegetated Photovoltaic
development. Proficiency in biodiversity monitoring tools and plant growth tracking. Field experimentation skills and experience in ecological data collection and analysis. Demonstrated hands-on experience
-
data. Knowledge of computer-aided synthesis planning (CASP) tools and retrosynthetic analysis software (e.g., AiZynthFinder, ASKCOS, IBM RXN). Familiarity with reaction condition prediction and reaction
-
Intelligence, Machine Learning, Data Science, Electrical Engineering, or a related field. Strong experience in developing and applying AI/ML models to energy systems or similar applications. Proficiency in