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, both verbal and written, are required. Key duties: Successful candidate is expected to: Develop and optimize lipid extraction protocols Conduct lipid conversion into biodiesel Analyze lipid profiles and
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(LLMs) to predictive maintenance challenges. Develop and fine-tune LLMs to analyze and interpret unstructured data (e.g., maintenance logs, sensor data, technical reports) for predictive insights
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of lithium iron phosphate (LFP) batteries. Key Responsibilities: Develop and implement machine learning algorithms for SOC and SOH estimation. Analyze large datasets from battery systems to improve model
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formulation as sustainable tools for the control of insect pests of some major crops. The selected candidate is expected to: Design and develop versatile biopesticide formulations using some effective natural
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: Design and implement AI/ML pipelines for multi-omics data integration, including supervised and unsupervised learning methods. Develop deep learning architectures (e.g., variational autoencoders, graph
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of isotopes, ecohydrology, and modeling mainly in the continuum water-soil-plant-atmosphere. Key Responsibilities: Develop and calibrate isotopic tracers to understand water sources, transport processes, and
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): The AgroBioSciences (AgBS) program is a component of the Science & Technology pole of Mohammed VI Polytechnic University (UM6P). It constitutes a structure of higher education and practical-based research with a vision
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that seeks to foster the development of skilled manpower and natural resources in Morocco and Africa. UM6P has robust teaching and research programs with a base of cutting-edge research facilities and
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(UM6P), a higher education institution with an international standard, is established to serve Morocco and the African continent. Its vision is honed around research and innovation at the service
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(UM6P), a higher education institution with an international standard, is established to serve Morocco and the African continent. Its vision is honed around research and innovation at the service