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tools (CPLEX, SAP). Experience with data analysis software. Soft Skills: Analytical mindset and attention to detail. Ability to manage priorities and work under pressure. Excellent communication skills
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challenges. All our programs run as start-ups and can be self-organized when they reach a critical mass. Thus, academic liberty is promoted as far as funding is developed by research teams. The research
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related field. Strong track record in remote-sensing imagery and/or time-series analysis and ML/DL for spatio-temporal data. Advanced Python skills and experience with ML frameworks and geospatial tools
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. Skilled in both field and lab work Proactive, ethic, and respectful person Tentative Schedule: Year 1 1 Collection of flux data B isotopic analysis, macro- and micronutrient analysis Monitoring and analysis
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phosphogypsum, with a specific focus on bioleaching technologies. The successful candidate will contribute to advancing the use of environmentally friendly bioleaching techniques for the extraction of valuable
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focus on 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
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in experimental design, data analysis, and scientific writing Added value: expertise in microbial ecology, bioremediation, or omics-based approaches Where to apply Website https
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at Mohammed VI Polytechnic University focuses on innovative research and education to address Moroccan and African challenges. Its work spans four key areas: energy transition, surface technology, polymers and
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accuracy and performance. Conduct research on predictive analytics for real-time battery health monitoring and fault detection. Collaborate with embedded systems and hardware engineering teams to integrate
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VI Polytechnic University (UM6P), Benguerir, Morocco The candidate will play a key role in advancing applied research related to the development, characterization, and evaluation of innovative