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remote sensing datasets for environmental applications. Experience with high-performance computing and analysis of large datasets; A good track record of published research in peer-reviewed scientific
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2 Sep 2025 Job Information Organisation/Company MOHAMMED VI POLYTECHNIC UNIVERSITY Research Field Agricultural sciences Biological sciences Mathematics Researcher Profile Recognised Researcher (R2
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, tensor analysis, and network science to foster the professional development of team members. Qualifications and experience essential PhD in Applied Mathematics in the fields of Numerical Linear Algebra
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or both of these fields, from an anthropological side. Health issues (infectious diseases) and environmental issues (biodiversity erosion) are to be documented. Responsibilities and tasks planned: The work
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communications-related performance metrics were considered, such as reliability, connectivity, throughput, delay, network lifetime, power efficiency, and security. In the literature, WSN design is typically
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: Mathematical Modeling: Develop mathematical models to simulate and optimize the entire waste management chain—from collection to treatment. Data Integration and Analysis: Integrate real-time and historical data
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developing methods/tools that use multi-source remotely sensed data. The research aims to improve our understanding of the integrated functioning of continental surfaces and their interaction with climate and
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materials. Its work is oriented towards applied research and innovation to meet market needs. Description of the position: This position aims to tackle corrosion and wear-related problems faced by our client
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, conversion and storage, and organic optoelectronics intelligent and advanced polymers and materials. Job description: ACER invites applications for open rank positions to work as post-doctoral researchers in
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. Proficiency in programming MATLAB and Python for data analysis and algorithm development. Knowledge of data assimilation techniques is a valuable added. Excellent communication skills and ability to work