Sort by
Refine Your Search
-
project as a driving force of a business model. About Entity (Hiring entity): The African Sustainable Agriculture Research Institute (ASARI) is a component of the Mohammed VI Polytechnic University (UM6P
-
develop innovative solutions based on the analysis of urban data (big data, IoT, GIS) to monitor and improve public health. You will contribute to modeling smart cities with a focus on health and designing
-
for the design, analysis, and optimization of energy networks in urban environments. We are seeking a dynamic and motivated specialist to join our research team on urban energy networks management. The selected
-
surveys on the subject. Contribute to developing novel communication designs to optimize the WSN-IoT system/network considering communication and data fusion requirements. Conduct a theoretical analysis of
-
soil moisture Participate in field data collection and data analysis Satellite images processing Publish research findings in peer-reviewed journals and present results at conferences and workshops
-
research and innovation at the heart of its educational project as a driving force of a business model. About Entity (ASARI): The African Sustainable Agriculture Research Institute (ASARI) is a component of
-
business model. About ASARI (Hiring entity): The African Sustainable Agriculture Research Institute (ASARI) is a component of the Mohammed VI Polytechnic University (UM6P) in Laayoune City, south of Morocco
-
to the development, analysis, and improvement of emission inventories and source apportionment methodologies, with a focus on advancing our understanding of regional and global air pollution sources. Duties and
-
sustainable urban development. Responsibilities: Research and Development: Conduct original research on NBS, including the design and implementation of field projects, data analysis, and publication of results
-
science and hydrological modeling related to mine water management. Key Responsibilities Conduct advanced analysis of climate variability using a range of observational and modeled datasets to discern